# kb

id: climateprediction-net-20260505-3
file: data/en.wikipedia.org/wiki/Climateprediction.net-3.md
category: reference
title: Climateprediction.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Climateprediction.net
date_saved: 2026-05-05T04:11:42.306440+00:00
instance: kb-cron
parent: climateprediction-net-20260505-0
summary:
== Visualisations == Many volunteer computing projects have screensavers to visually indicate the activity of the application, but they do not usually show its results as they are being calculated. By contrast, climateprediction.net not only uses a built-in visualisation to show the climate of the world being modelled, but it is interactive which allows different aspects of climate (temperature, rainfall, etc.) to be displayed. In addition, there are other, more advanced visualisation programs that allow the user to see more of what the model is doing (usually by analysing previously generated results) and to compare different runs and models. The real-time desktop visualisation for the model launched in 2003 was developed by Jeremy Walton at NAG, enabling users to track the progress of their simulation as the cloud cover and temperature changes over the surface of the globe. Other, more advanced visualisation programs in use include CPView and IDL Advanced Visualisation. They have similar functionality. CPView was written by Martin Sykes, a participant in the experiment. The IDL Advanced Visualisation was written by Andy Heaps of the University of Reading (UK), and modified to work with the BOINC version by Tesella Support Services plc. Only CPView allows you to look


id: cosmology-home-20260505-0
file: data/en.wikipedia.org/wiki/Cosmology@Home-0.md
category: reference
title: Cosmology@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Cosmology@Home
date_saved: 2026-05-05T04:11:43.586816+00:00
instance: kb-cron
parent: cosmology-home-20260505-0
summary:
Cosmology@Home was a volunteer computing project that used the BOINC platform and was formerly run at the Departments of Astronomy and Physics at the University of Illinois at Urbana-Champaign. The project has moved to the Institut Lagrange de Paris and the Institut d'Astrophysique de Paris, both of which are located in the Pierre and Marie Curie University. == Goals == The goal of Cosmology@Home is to compare theoretical models of the universe to the data measured to date and search for the model that best matches it. Other goals may include: results from Cosmology@Home can help design future cosmological observations and experiments. results from Cosmology@Home can help prepare for the analysis of future data sets, e.g. from the Planck spacecraft. == Science == The goal of Cosmology@Home is to search for the model that best describes our Universe and to find the range of models that agree with the available astronomical and particle physics data. The models generated by Cosmology@Home can be compared to measurements of the universe's expansion speed from the Hubble Space Telescope as well as fluctuations in the Cosmic microwave background as measured by the Wilkinson Microwave Anisotropy Probe. == Method == Cosmology@Home uses an innovative way


id: discovering-dengue-drugs-together-20260505-0
file: data/en.wikipedia.org/wiki/Discovering_Dengue_Drugs_–_Together-0.md
category: reference
title: Discovering Dengue Drugs – Together
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Discovering_Dengue_Drugs_–_Together
date_saved: 2026-05-05T04:11:44.894086+00:00
instance: kb-cron
parent: discovering-dengue-drugs-together-20260505-0
summary:
Discovering Dengue Drugs – Together (DDDT) was a World Community Grid project launched in 2007 sponsored by scientists at the University of Texas Medical Branch at Galveston and the University of Chicago. Its goal was to identify new antiviral drugs effective against viruses from the family Flaviviridae. The project closed in 2015. Like all World Community Grid projects, Discovering Dengue Drugs – Together used a computational grid made up of thousands of client computers belonging to independent volunteers, in conjunction with servers that distribute portions of the work to the clients. == Phase 1 == The first phase of the project launched on August 21, 2007 and used AutoDock 2007 (the same software used for FightAIDS@Home) to test how well antiviral drug candidates are predicted to bind to the target virus's proteases. The specific viruses targeted by the project were: Dengue virus Hepatitis C virus West Nile virus Yellow fever virus Compounds predicted to bind strongly (protease inhibitors) were identified as potential antiviral drug candidates. Around 2.2 million compounds were examined in Phase 1, with around 20,000 of the best scoring compounds being passed to the second phase of the project. In 2008, the project was temporarily suspended because of


id: docking-home-20260505-0
file: data/en.wikipedia.org/wiki/Docking@Home-0.md
category: reference
title: Docking@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Docking@Home
date_saved: 2026-05-05T04:11:46.073356+00:00
instance: kb-cron
parent: docking-home-20260505-0
summary:
Docking@Home was a volunteer computing project hosted by the University of Delaware and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It models protein-ligand docking using the CHARMM program. Volunteer computing allows an extensive search of protein-ligand docking conformations and selection of near-native ligand conformations are achieved by using ligand based hierarchical clustering. The ultimate aim was the development of new pharmaceutical drugs. The project was retired on May 23, 2014. == See also == List of volunteer computing projects == References == == Further reading == "Computer Idle? Now You Can Donate Its Time to Find a Cure for Major Diseases". Newswise. June 16, 2009. Retrieved 2009-07-27. == External links == Official website Docking@Home screensaver video on YouTube


id: einstein-home-20260505-0
file: data/en.wikipedia.org/wiki/Einstein@Home-0.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
Einstein@Home is a volunteer computing project that searches for signals from spinning neutron stars in data from gravitational-wave detectors, from large radio telescopes, and from a gamma-ray telescope. Neutron stars are detected by their pulsed radio and gamma-ray emission as radio and/or gamma-ray pulsars. They also might be observable as continuous gravitational wave sources if they are rapidly spinning and non-axisymmetrically deformed. The project was officially launched on 19 February 2005 as part of the American Physical Society's contribution to the World Year of Physics 2005 event. Einstein@Home searches data from the LIGO gravitational-wave detectors. The project conducts the most sensitive all-sky searches for continuous gravitational waves. While no such signal has yet been detected, the upper limits set by Einstein@Home analyses provide astrophysical constraints on the galactic population of spinning neutron stars in our Milky Way galaxy. Einstein@Home also searches radio telescope data from the Arecibo Observatory, and has in the past analyzed data from Parkes Observatory. On 12 August 2010, the first discovery by Einstein@Home of a previously undetected radio pulsar J2007+2722, found in data from the Arecibo Observatory, was published in Science. This was the first data-based discovery by a volunteer computing project. As of December 2023,


id: einstein-home-20260505-1
file: data/en.wikipedia.org/wiki/Einstein@Home-1.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
Einstein@Home has carried out many analysis runs using data from the LIGO instruments. Since its first search run in 2005, the sensitivity of the LIGO detectors has been improved in a series of steps and upgrades. This is continuing with the current Advanced LIGO detectors. At the same time, Einstein@Home search algorithms have also improved. Together these have increased the search sensitivity by several orders of magnitude. Einstein@Home's first analysis used data from the "third science run" (S3) of LIGO. Processing of the S3 data set was conducted between 22 February 2005 and 2 August 2005. This analysis employed 60 segments from the LIGO Hanford 4-km detector, totaling ten hours of data each. Each 10-hour segment was analyzed for CW signals by the volunteers' computers using a matched-filtering technique. When all matched-filtering results were returned, the results from different segments were then combined in a "post-processing step" on Einstein@Home servers via a coincidence scheme to further enhance search sensitivity. Results were published on the Einstein@Home webpages. Work on the S4 data set (LIGO's fourth science run) was started via interlacing with the S3 calculations and finished in July 2006. This analysis used 10 segments of 30 hours each from the


id: einstein-home-20260505-2
file: data/en.wikipedia.org/wiki/Einstein@Home-2.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
An Einstein@Home study on how to optimally use the limited computing power for directed searches (where prior information on the target object such as the sky position is available) was published on 31 January 2018. It describes the design of searches for continuous gravitational waves over a wide frequency range from three supernova remnants (Vela Jr, Cassiopeia A, and G347.3). The results from the directed Einstein@Home search for continuous gravitational waves from the central objects of the supernova remnants Vela Jr., Cassiopeia A, and G347.3 was published on 29 July 2019. It covered a frequency range from 20 Hertz to 1500 Hertz and used data from LIGO's first observing run O1. No signal was found and the most stringent upper limit at the time of publication were set, improving earlier results by a factor of two for all three targets. A follow-up of the Einstein@Home search for continuous gravitational waves from the central objects of the supernova remnants Vela Jr., Cassiopeia A, and G347.3 was published on 29 June 2020. It investigated the most promising 10,000 candidates from the previous search and followed them up in two stretches of data from LIGO's second observing run (O2). A single candidate associated


id: einstein-home-20260505-3
file: data/en.wikipedia.org/wiki/Einstein@Home-3.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Radio data analysis and results == On 24 March 2009, it was announced that the Einstein@Home project was beginning to analyze data received by the PALFA Consortium at the Arecibo Observatory in Puerto Rico. On 26 November 2009, a CUDA-optimized application for the Arecibo Binary Pulsar Search was first detailed on official Einstein@Home webpages. This application uses both a regular CPU and an NVIDIA GPU to perform analyses faster (in some cases up to 50% faster). On 12 August 2010, the Einstein@Home project announced the discovery of a new disrupted binary pulsar, PSR J2007+2722; it may be the fastest-spinning such pulsar discovered to date. The computers of Einstein@Home volunteers Chris and Helen Colvin and Daniel Gebhardt observed PSR 2007+2722 with the highest statistical significance. On 1 March 2011, the Einstein@Home project announced their second discovery: a binary pulsar system PSR J1952+2630. The computers of Einstein@Home volunteers from Russia and the UK observed PSR J1952+2630 with the highest statistical significance. By 15 May 2012 a new application for ATI/AMD graphic cards had been released. Using OpenCL, the new application was ten times faster than running on a typical CPU. On 22 July 2013, an Android application version of the radio


id: einstein-home-20260505-4
file: data/en.wikipedia.org/wiki/Einstein@Home-4.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Gamma-ray data analysis and results == On 1 July 2011 the project announced a new application to search for pulsars in data from the Large Area Telescope on board the Fermi Gamma-ray Space Telescope. On 26 November 2013, the discovery of four young gamma-ray pulsars in LAT data by the Einstein@Home project was published. All four pulsars are located in the plane of our Galaxy and have spin frequencies of less than 10 Hertz and characteristic ages between 35,000 and 56,000 years. No radio waves were detected from any of the pulsars. The discovery of the gamma-ray pulsar PSR J1906+0722 was published on 4 August 2015. The discovery confirmed the pulsar nature of the object which had been suspected since 2012 based on the energy distribution of the gamma-ray photons observed by the LAT. The pulsar is young and energetic. In August 2009 it suffered one of the largest glitches observed from a gamma-ray pulsar. No radio pulsations were detected in any follow-up search, making PSR J1906+0722 likely radio-quiet. Advanced methods of timing the arrival times of gamma-ray pulsations were introduced to improve the parameter inference of astrophysical properties. On 16 November 2016 the discovery and timing measurements of


id: einstein-home-20260505-5
file: data/en.wikipedia.org/wiki/Einstein@Home-5.md
category: reference
title: Einstein@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Einstein@Home
date_saved: 2026-05-05T04:11:47.567076+00:00
instance: kb-cron
parent: einstein-home-20260505-0
summary:
== Scientific Publications == Clark, C. J.; et al. (2016). "The Braking Index of a Radio-quiet Gamma-ray Pulsar". The Astrophysical Journal. 832 (1): L15. arXiv:1611.01292. Bibcode:2016ApJ...832L..15C. doi:10.3847/2041-8205/832/1/L15. ISSN 2041-8213. S2CID 54531854. Clark, Colin J.; et al. (2016). "The Einstein@Home Gamma-ray Pulsar Survey I: Search Methods, Sensitivity and Discovery of New Young Gamma-ray Pulsars". The Astrophysical Journal. 834 (2): 106. arXiv:1611.01015. Bibcode:2017ApJ...834..106C. doi:10.3847/1538-4357/834/2/106. S2CID 5750104. Lyne, A. G.; Stappers, B. W.; Bogdanov, S.; Freire, P. C. C.; Kaspi, V. M.; et al. (2016). "Timing of 29 Pulsars Discovered in the PALFA Survey". The Astrophysical Journal. 834 (2): 137. arXiv:1608.09007. Bibcode:2017ApJ...834..137L. doi:10.3847/1538-4357/834/2/137. S2CID 53639204. Papa, M. A.; Eggenstein, H.-B.; Walsh, S.; Di Palma, I.; Allen, B.; et al. (2016). "Hierarchical follow-up of sub-threshold candidates of an all-sky Einstein@Home search for continuous gravitational waves on LIGO sixth science run data". Physical Review D. 94 (12) 122006. arXiv:1608.08928. Bibcode:2016PhRvD..94l2006P. doi:10.1103/PhysRevD.94.122006. S2CID 4595158. Lazarus, P.; et al. (2016). "Einstein@Home discovery of a Double-Neutron Star Binary in the PALFA Survey". The Astrophysical Journal. 831 (2): 150. arXiv:1608.08211. Bibcode:2016ApJ...831..150L. doi:10.3847/0004-637X/831/2/150. ISSN 1538-4357. S2CID 20833657. Zhu, Sylvia J.; et al. (2016). "Einstein@Home search for continuous gravitational waves from Cassiopeia A". Physical Review D. 94 (8) 082008. arXiv:1608.07589. Bibcode:2016PhRvD..94h2008Z.


id: eon-20260505-0
file: data/en.wikipedia.org/wiki/EOn-0.md
category: reference
title: EOn
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/EOn
date_saved: 2026-05-05T04:11:48.742363+00:00
instance: kb-cron
parent: eon-20260505-0
summary:
eOn was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, which uses theoretical chemistry techniques to solve problems in condensed matter physics and materials science. It was a project of the Institute for Computational Engineering and Sciences at the University of Texas. Traditional molecular dynamics can accurately model events that occur within a fraction of a millisecond. In order to model events that take place on much longer timescales, Eon combines transition state theory with kinetic Monte Carlo. The result is a combination of classical mechanics and quantum methods like density functional theory. Since the generation of new work units depended on the results of previous units, the project could only give each host a few units at a time. On May 26, 2014, it was announced that eOn would be retiring from BOINC. == See also == List of volunteer computing projects == References ==


id: evolution-home-20260505-0
file: data/en.wikipedia.org/wiki/Evolution@Home-0.md
category: reference
title: Evolution@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Evolution@Home
date_saved: 2026-05-05T04:11:54.396386+00:00
instance: kb-cron
parent: evolution-home-20260505-0
summary:
evolution@home was a volunteer computing project for evolutionary biology, launched in 2001. The aim of evolution@home is to improve understanding of evolutionary processes. This is achieved by simulating individual-based models. The Simulator005 module of evolution@home was designed to better predict the behaviour of Muller's ratchet. The project was operated semi-automatically; participants had to manually download tasks from the webpage and submit results by email using this method of operation. yoyo@home used a BOINC wrapper to completely automate this project by automatically distributing tasks and collecting their results. Therefore, the BOINC version was a complete volunteer computing project. yoyo@home has declared its involvement in this project finished. == See also == Artificial life Digital organism Evolutionary computation Folding@home List of volunteer computing projects == References ==


id: fightaids-home-20260505-0
file: data/en.wikipedia.org/wiki/FightAIDS@Home-0.md
category: reference
title: FightAIDS@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/FightAIDS@Home
date_saved: 2026-05-05T04:11:55.590840+00:00
instance: kb-cron
parent: fightaids-home-20260505-0
summary:
FightAIDS@Home is a volunteer computing project operated by the Olson Laboratory at The Scripps Research Institute. It runs on internet-connected home computers, and since July 2013 also runs on Android smartphones and tablets. It aims to use biomedical software simulation techniques to search for ways to cure or prevent the spread of HIV/AIDS. == Methods == Olson's target is HIV protease, a key molecular machine of the virus that when blocked stops it from maturing. These blockers, known as "protease inhibitors", are thus a way of avoiding the onset of AIDS and prolonging life. The Olson Laboratory is using computational methods to identify new candidate drugs that have the right shape and chemical characteristics to block HIV protease. This general approach is called structure-based drug design, and according to the National Institutes of Health's National Institute of General Medical Sciences, it has already had a dramatic effect on the lives of people living with AIDS. FightAIDS@Home makes use of the AutoDock VINA software, which tests how well a particular molecule binds to the HIV-1 protease. In October 2015 FightAIDS@Home Phase 2 was launched, using the computationally intensive Binding Energy Distribution Analysis Method (BEDAM) to "more thoroughly evaluate the top candidates


id: fiocruz-genome-comparison-project-20260505-0
file: data/en.wikipedia.org/wiki/Fiocruz_Genome_Comparison_Project-0.md
category: reference
title: Fiocruz Genome Comparison Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Fiocruz_Genome_Comparison_Project
date_saved: 2026-05-05T04:11:56.811012+00:00
instance: kb-cron
parent: fiocruz-genome-comparison-project-20260505-0
summary:
The Fiocruz Genome Comparison Project is a collaborative effort involving Brazil's Oswaldo Cruz Institute and IBM's World Community Grid, designed to produce a database comparing the genes from many genomes with each other using SSEARCH. The program SSEARCH performs a rigorous Smith–Waterman alignment between a protein sequence and another protein sequence, a protein database, a DNA or a DNA library. The nature of the computation in the project allows it to easily take advantage of volunteer computing. This, along with the likely humanitarian benefits of the research, has led the World Community Grid (a volunteer computing grid that uses idle computer clock time) to run the Fiocruz project. All products are in the public domain by contract with WCG. == Description == The problem is that a very large information body (structural, functional, cross-references, etc.) is attached to protein database entries. Once entered the information is rarely updated or corrected. This annotation of predicted protein function is often incomplete, uses non-standard nomenclature or can be incorrect when cross referenced from previous sometimes incorrectly annotated sequences. Additionally, many proteins composed of several structural and/or functional domains are overlooked by automated systems. The comparative information today is huge when compared to the


id: freehal-20260505-0
file: data/en.wikipedia.org/wiki/FreeHAL-0.md
category: reference
title: FreeHAL
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/FreeHAL
date_saved: 2026-05-05T04:11:58.147758+00:00
instance: kb-cron
parent: freehal-20260505-0
summary:
FreeHAL was a volunteer computing project to build a self-learning chatbot. This project is no longer active. Originally, the program was called JEliza referring to the chatbot ELIZA by Joseph Weizenbaum. The J stood for Java because JEliza has first been programmed in Java. In May 2008, the program has been renamed to FreeHAL because the programming language has changed. The name is related to the computer in the film 2001: A Space Odyssey. FreeHAL uses a semantic network and technologies like pattern recognition, stemming, part of speech databases and Hidden Markov Models in order to imitate a human behaviour. FreeHAL learns autonomously. While communicating by keyboard, the program extends its database. Currently, English and German are supported. By using the BOINC platform, new semantic networks for the program are built. FreeHAL@home appears to have terminated operations. == Awards == In 2008, the program won the first prize in the category "Most Popular" at the Chatterbox Challenge, a yearly competition between different similar chatbots. == Publications == There was an article about FreeHAL in the Linux Magazine, Issue 97 from December 2008. In the German magazine com!, the program was on the CD/DVD and in the list of the Top-10-Open-Source


id: gpugrid-net-20260505-0
file: data/en.wikipedia.org/wiki/GPUGRID.net-0.md
category: reference
title: GPUGRID.net
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/GPUGRID.net
date_saved: 2026-05-05T04:11:59.346167+00:00
instance: kb-cron
parent: gpugrid-net-20260505-0
summary:
GPUGRID is a volunteer computing project hosted by Pompeu Fabra University and running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform. It performs full-atom molecular biology simulations that are designed to run on Nvidia's CUDA-compatible graphics processing units. == Former support for PS3s == Support for the PS3's Cell microprocessor and the subsequent PS3GRID project was dropped in 2009 due to updated firmware preventing the installation of required third-party software. This included Linux distributions that are required to run BOINC. The massive throughput of Nvidia GPUs has also made the PS3 client largely redundant. As of September 2009, a mid-range Nvidia GPU ran GPUGRID applications approximately five times faster than the Cell microprocessor. == See also == List of volunteer computing projects Molecular dynamics GPGPU == References == == Further reading == Research topics in GPUGRID website's science sections GPUGRID's about us Archived 2016-11-04 at the Wayback Machine section == External links == Official website Berkeley Open Infrastructure for Network Computing (BOINC)


id: gridcoin-20260505-0
file: data/en.wikipedia.org/wiki/Gridcoin-0.md
category: reference
title: Gridcoin
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Gridcoin
date_saved: 2026-05-05T04:12:00.566746+00:00
instance: kb-cron
parent: gridcoin-20260505-0
summary:
Gridcoin (abbreviation: GRC) is a cryptocurrency which rewards volunteer computing performed on the BOINC platform. BOINC was originally developed to support SETI@home, but has also been used for research in other areas. Gridcoin was created on October 16, 2013, by Rob Halförd. Initially using the energy-intensive proof of work, as used by Bitcoin, Gridcoin migrated to a proof of stake protocol in 2014, similar to Peercoin, in an attempt to address the environmental impact of cryptocurrency mining. An exploit was demonstrated in August 2017 that revealed the email addresses of Gridcoin users and allowed the theft of other users' work. The research team had disclosed the vulnerability to the developers in September 2016, and a patch was released in March 2017 with version 3.5.8.7. However the implementation of the fix introduced other issues. The implementation Gridcoin-Research was created as a fork of Bitcoin and Peercoin and is licensed under the MIT License. It uses Qt 5 for its user interface and prebuilt executables of the wallet are distributed for Windows, macOS, and Debian. == References == == External links == Official website


id: gridrepublic-20260505-0
file: data/en.wikipedia.org/wiki/GridRepublic-0.md
category: reference
title: GridRepublic
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/GridRepublic
date_saved: 2026-05-05T04:12:01.716639+00:00
instance: kb-cron
parent: gridrepublic-20260505-0
summary:
GridRepublic is a BOINC Account Manager. It focuses on creating a clean and simple way to join and interact with BOINC. GridRepublic was started with a mission to raise public awareness and participation in volunteer computing with BOINC. GridRepublic was formed in 2004 by Matthew Blumberg as a mechanism to control the multiple projects from one place. The code for the BOINC software had to be redesigned to allow for the Account Manager system to be implemented. GridRepublic's website has won numerous awards including being named finalist at the 2007 SXSW Interactive Festival and the 2008 Stockholm Challenge. GridRepublic has also been the recipients of a Google Grant allowing for advertising through Google. == Projects == GridRepublic supports a wide range of the BOINC projects. The list of supported projects and the development status of projects are periodically updated. Some of its popular projects include: Climateprediction.net Climate change modeling on personal computers Einstein@home Pulsar stars from LIGO and GEO data Rosetta@home Protein folding research SETI@home Searching radio and light data for signs of intelligent life == Software == GridRepublic is a non-profit organisation, an online application, and software. The software is open source and a customized version of BOINC. ==


id: hashclash-20260505-0
file: data/en.wikipedia.org/wiki/HashClash-0.md
category: reference
title: HashClash
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/HashClash
date_saved: 2026-05-05T04:12:02.985444+00:00
instance: kb-cron
parent: hashclash-20260505-0
summary:
HashClash was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) software platform to find collisions in the MD5 hash algorithm. It was based at Department of Mathematics and Computer Science at the Eindhoven University of Technology, and Marc Stevens initiated the project as part of his master's degree thesis. The project ended after Stevens defended his M.Sc. thesis in June 2007. However, SHA1 was added later, and the code repository was ported to git in 2017. The project was used to create a rogue certificate authority certificate in 2009. == See also == Berkeley Open Infrastructure for Network Computing (BOINC) List of volunteer computing projects == References == == External links == HashClash HashClash at Stevens' home page Create your own MD5 collisions on AWS, Nat McHugh's blog


id: help-conquer-cancer-20260505-0
file: data/en.wikipedia.org/wiki/Help_Conquer_Cancer-0.md
category: reference
title: Help Conquer Cancer
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Conquer_Cancer
date_saved: 2026-05-05T04:12:04.139358+00:00
instance: kb-cron
parent: help-conquer-cancer-20260505-0
summary:
Help Conquer Cancer is a volunteer computing project that runs on the BOINC platform. It is a joint project of the Ontario Cancer Institute and the Hauptman-Woodward Medical Research Institute. It is also the first project under World Community Grid to run with a GPU counterpart. == Project Purpose == The goal is to enhance the efficiency of protein X-ray crystallography, which will enable researchers to determine the structure of many cancer-related proteins faster. This will lead to improving the understanding of the function of these proteins, and accelerate the development of new pharmaceutical drugs. == See also == BOINC List of volunteer computing projects World Community Grid == References == == External links == Help Conquer Cancer Archived 2010-01-17 at the Wayback Machine


id: help-cure-muscular-dystrophy-20260505-0
file: data/en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy-0.md
category: reference
title: Help Cure Muscular Dystrophy
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Cure_Muscular_Dystrophy
date_saved: 2026-05-05T04:12:05.359382+00:00
instance: kb-cron
parent: help-cure-muscular-dystrophy-20260505-0
summary:
Help Cure Muscular Dystrophy is a volunteer computing project that runs on the BOINC platform. It is a joint effort of the French muscular dystrophy charity, L'Association française contre les myopathies; and L'Institut de biologie moléculaire et cellulaire (Molecular and Cellular Biology Institute). == Project purpose == Help Cure Muscular Dystrophy studies the function of various proteins that are produced by the two hundred genes known to be involved in the production of neuromuscular proteins by modelling the protein-protein interactions of the forty thousand relevant proteins that are listed in the Protein Data Bank. More specifically, it models how a protein would be affected when another protein or a ligand docks with it. == Scientific publications == Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018). Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017). Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016). Protein-Protein Interactions in a Crowded Environment: An Analysis


id: help-defeat-cancer-20260505-0
file: data/en.wikipedia.org/wiki/Help_Defeat_Cancer-0.md
category: reference
title: Help Defeat Cancer
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Help_Defeat_Cancer
date_saved: 2026-05-05T04:12:10.670864+00:00
instance: kb-cron
parent: help-defeat-cancer-20260505-0
summary:
The Help Defeat Cancer project ran on World Community Grid from July 20, 2006, to April 2007. It sought to improve the ability of medical professionals to determine the best treatment options for patients with cancers of the breast, head, or neck. The project worked by identifying visual patterns in large numbers of tissue microarrays taken from archived tissue samples. By correlating the pattern data with information about treatment and patient outcome, the results of this project could help provide better targeted treatment options. == References == == External links == World Community Grid - Research - Help Defeat Cancer


id: human-proteome-folding-project-20260505-0
file: data/en.wikipedia.org/wiki/Human_Proteome_Folding_Project-0.md
category: reference
title: Human Proteome Folding Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Human_Proteome_Folding_Project
date_saved: 2026-05-05T04:12:11.885664+00:00
instance: kb-cron
parent: human-proteome-folding-project-20260505-0
summary:
The Human Proteome Folding Project (HPF) is a collaborative effort between New York University (Bonneau Lab), the Institute for Systems Biology (ISB) and the University of Washington (Baker Lab), using the Rosetta software developed by the Rosetta Commons. The project is managed by the Bonneau lab. HPF Phase 1 applied Rosetta v4.2x software on the human genome and 89 others, starting in November 2004. Phase 1 ended in July 2006. HPF Phase 2 (HPF2) applies the Rosetta v4.8x software in higher resolution, "full atom refinement" mode, concentrating on cancer biomarkers (proteins found at dramatically increased levels in cancer tissues), human secreted proteins and malaria. Phase 1 ran on two volunteer computing grids: on United Devices' grid.org, and on the World Community Grid, an IBM philanthropic initiative. Phase 2 of the project ran exclusively on the World Community Grid; it terminated in 2013 after more than 9 years of IBM involvement. The Institute for Systems Biology will use the results of the computations within its larger research efforts. == Publications == == See also == BOINC Folding@home Foldit Human proteome project List of volunteer computing projects == References == == External links == HPF page at WCG HPF updates by Dr.


id: ibercivis-20260505-0
file: data/en.wikipedia.org/wiki/Ibercivis-0.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T04:12:13.078637+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Ibercivis was a volunteer computing platform which allows internet users to participate in scientific research by donating unused computer cycles to run scientific simulations and other tasks. The original project, which became operational in 2008, was a scientific collaboration between the Portuguese and Spanish governments, but it is open to the general public and scientific community, both within and beyond the Iberian Peninsula. The project's name is a portmanteau of Iberia and the Latin word civis, meaning 'citizen'. In April 2020, the volunteer computing platform was restarted by the Ibercivis Foundation and the Spanish National Research Council in order to screen existing drugs for antiviral activity against Severe acute respiratory syndrome coronavirus 2, the causative agent of the COVID-19 pandemic. == History == Ibercivis was developed in Spain with the cooperation of the Institute of Biocomputation and Physics of Complex Systems at the University of Zaragoza, CIEMAT, CETA-CIEMAT, the Spanish National Research Council (CSIC) and RedIris. The project tasks are issued by different scientific and technological centers in Spain with the aim of creating a functional platform for volunteer-based scientific computing. The project is a European counterpart to the successful United States-based SETI@home and Berkeley Open Infrastructure for Network Computing


id: ibercivis-20260505-1
file: data/en.wikipedia.org/wiki/Ibercivis-1.md
category: reference
title: Ibercivis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Ibercivis
date_saved: 2026-05-05T04:12:13.078637+00:00
instance: kb-cron
parent: ibercivis-20260505-0
summary:
Fusion: a star on your screen: this application helped scientists at the Research Center for Energy Environment and Technology (CIEMAT) and at the Institute for Biocomputation and Physics of Complex Systems (BIFI) perform simulations of the plasmas that will be produced in the International Thermonuclear Experimental Reactor (ITER). The ITER project, which will begin operation in 2018, seeks to make nuclear fusion power a reality, replicating on Earth conditions typically found inside stars. Docking: looking for anti-cancer drugs: the Docking application assisted the search for new medicines through the simulation of protein docking. The Bioinformatics Unit of the Centro de Biología Molecular Severo Ochoa (CSIC-UAM) developed a platform to allow the automatic simulation of interactions of proteins and small molecules. Its purpose was to find effective drugs to treat serious illnesses, such as cancer. Materials: simulation of magnetic systems: the Materials application aided physicists from the Universidad Complutense de Madrid, Universidad de Extremadura and the Institute for Biocomputation and Physics of Complex Systems in discovering how non-magnetic impurities in magnetic materials modify the properties of their transition from a magnetic state to a non-magnetic one. The knowledge of these transitions is important not only from a theoretical point of view


id: the-lattice-project-20260505-0
file: data/en.wikipedia.org/wiki/The_Lattice_Project-0.md
category: reference
title: The Lattice Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/The_Lattice_Project
date_saved: 2026-05-05T04:12:14.866115+00:00
instance: kb-cron
parent: the-lattice-project-20260505-0
summary:
The Lattice Project was a volunteer computing project that combined computing resources, Grid middleware, specialized scientific application software and web services into a comprehensive Grid computing system for scientific analysis. It ran the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software to determine the relationships between different genetic samples. A major aspect of the project makes use of the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The Lattice Project maintained a separate BOINC web site, but the site is dead as of this writing, causing this project to shut down because BOINC depends on this website to get setup information to set this project up on its clients. == References == == External links == The Lattice Project website archive


id: leiden-classical-20260505-0
file: data/en.wikipedia.org/wiki/Leiden_Classical-0.md
category: reference
title: Leiden Classical
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Leiden_Classical
date_saved: 2026-05-05T04:12:16.191176+00:00
instance: kb-cron
parent: leiden-classical-20260505-0
summary:
Leiden Classical was a volunteer computing project run by the Theoretical Chemistry Department of the Leiden Institute of Chemistry at Leiden University. Leiden Classical used the BOINC system, and enabled scientists or science students to submit their own test simulations of various molecules and atoms in a classical mechanics environment. ClassicalDynamics is a program (and with it a library) completely written in C++. The library is covered by the LGPL license and the main program is covered by the GPL. The project shut down on June 5, 2018. == Joining the project == Participation was possible via the BOINC manager. Using this software one was once able to create an account in the project. Then someone can make a model of a dynamic system and simulation participating run. There are several models possible, to interactions between molecules or planets. == User Submitted Calculations == To create a personal calculation, a user's model had to have six defined variables: Colors of the molecules Box in which the model is run Number of particles in the simulation Interaction between the particles Gravity Coulomb force Lennard-Jones interaction Morse interaction Rydberg interaction Harmonic spirit Harmonic bending Recurrent torsion interactions Distance conditions Confirmation parameter(s) ==


id: lhc-home-20260505-0
file: data/en.wikipedia.org/wiki/LHC@home-0.md
category: reference
title: LHC@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LHC@home
date_saved: 2026-05-05T04:12:17.415206+00:00
instance: kb-cron
parent: lhc-home-20260505-0
summary:
LHC@home is a volunteer computing project researching particle physics that uses the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The project's computing power is utilized by physicists at CERN in support of the Large Hadron Collider and other experimental particle accelerators. The project is run with the help of over 1,260 active volunteer users contributing more than 3,000 computers processing at a combined 52 teraFLOPS as of September 2024. The project is cross-platform, and runs on a variety of computer hardware configurations. == Applications == The LHC@home project currently runs four applications—Atlas, CMS, SixTrack, and Test4Theory—which deal with different aspects of research conducted in LHC such as calculating particle beam stability and simulating proton collisions. Atlas, CMS, and Test4Theory use VirtualBox, an x86 virtualization software package. === Atlas === Atlas uses volunteer computing power to run simulations of the ATLAS experiment. It can be run in VirtualBox or natively on Linux. === Beauty === Beauty (LHCb) compared the decay of bottom quarks (b) and bottom antiquarks (b), which also known as beauty quarks. The participation of volunteers in the application was suspended indefinitely on 19 November 2018. === CMS === The CMS application (formerly a standalone project called CMS@Home)


id: malaria-control-project-20260505-0
file: data/en.wikipedia.org/wiki/Malaria_Control_Project-0.md
category: reference
title: Malaria Control Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Malaria_Control_Project
date_saved: 2026-05-05T04:12:18.608257+00:00
instance: kb-cron
parent: malaria-control-project-20260505-0
summary:
malariacontrol.net was a volunteer computing project to simulate the transmission dynamics and health effects of malaria. It was part of the Africa@home project. The project was terminated on 21 June 2016. == History == The malariacontrol.net domain name was first registered on 19 May 2005 under Swiss Tropical Institute. This project was under Africa@home where the latter was conceived and developed by European Organization for Nuclear Research (CERN). malariacontrol.net was the first to use volunteer computing to model diseases. The model simulates malaria infection in 50,000 to 100,000 people. Each work unit lasted for an hour in average personal computers and the results were returned to University of Geneva for evaluation by researchers. malariacontrol.net ran all the simulations by using stochastic simulation model. Since 4 November 2010, using the financial support from Bill & Melinda Gates Foundation, Malariacontrol.net developed an open-source software named "Open Malaria" which can be used to simulate outcomes in various types of malaria transmission settings. On 21 June 2016, malariacontrol.net announced that the project has been terminated due to financial constraints in upgrading their servers for further volunteer computing operations. == Impact == Over 10 years, malariacontrol.net has produced 30 peer-reviewed articles. In 2008, among the


id: milkyway-home-20260505-0
file: data/en.wikipedia.org/wiki/MilkyWay@home-0.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
MilkyWay@home is a volunteer computing project in the astrophysics category, running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform. Using spare computing power from over 38,000 computers run by over 27,000 active volunteers as of November 2011, the MilkyWay@home project aims to generate accurate three-dimensional dynamic models of stellar streams in the immediate vicinity of the Milky Way. With SETI@home and Einstein@home, it is the third computing project of this type that has the investigation of phenomena in interstellar space as its primary purpose. Its secondary objective is to develop and optimize algorithms for volunteer computing. == Purpose and design == MilkyWay@home is a collaboration between the Rensselaer Polytechnic Institute's departments of Computer Science and Physics, Applied Physics and Astronomy and is supported by the U.S. National Science Foundation. It is operated by a team that includes astrophysicist Heidi Jo Newberg and computer scientists Malik Magdon-Ismail, Bolesław Szymański and Carlos A. Varela. By mid-2009 the project's main astrophysical interest is in the Sagittarius Stream, an immense stellar stream emanating from the Sagittarius Dwarf Spheroidal Galaxy that wraps around the Milky Way. Mapping such interstellar streams and their dynamics with high accuracy may provide crucial clues for understanding the


id: milkyway-home-20260505-1
file: data/en.wikipedia.org/wiki/MilkyWay@home-1.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Mendelsohn, Eric J.; Newberg, Heidi Jo; Shelton, Siddhartha; Widrow, Lawrence M.; Thompson, Jeffery M.; Grillmair, Carl J. (1 February 2022). "Estimate of the Mass and Radial Profile of the Orphan–Chenab Stream's Dwarf-galaxy Progenitor Using MilkyWay@home". The Astrophysical Journal. 926 (2): 106. arXiv:2201.03637. Bibcode:2022ApJ...926..106M. doi:10.3847/1538-4357/ac498a. S2CID 245853837. Donlon, T.; Newberg, H.; Weiss, J.; Guffey, A.; Thompson, J. (2021-06-01). "A Trifurcated Sagittarius Stream in the South". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.03. Bibcode:2021DDA....5240303D. Mendelsohn, E. J.; Newberg, H. J.; Shelton, S.; Widrow, L.; Thompson, J.; Grillmair, C. (2021-06-01). "Estimate of the Mass and Radial Profile of the Orphan Stream's Dwarf Galaxy Progenitor Using MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.01. Bibcode:2021DDA....5240301M. Mendelsohn, E. J.; Newberg, H. J.; Donlon, T.; Thompson, J. M. (2020-08-01). "N-Body Simulations with MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 52 (4): 200.01. Bibcode:2020DDA....5120001M. Donlon, Thomas; Newberg, Heidi Jo; Sanderson, Robyn; Widrow, Lawrence M. (2020-10-01). "The Milky Way's Shell Structure Reveals the Time of a Radial Collision". The Astrophysical Journal. 902 (2): 119. arXiv:2006.08764. Bibcode:2020ApJ...902..119D. doi:10.3847/1538-4357/abb5f6. S2CID 219708644. Shelton, Siddhartha; Newberg, Heidi Jo; Weiss, Jake; Bauer, Jacob S.; Arsenault, Matthew; Widrow, Larry; Rayment, Clayton; Desell, Travis; Judd, Roland; Magdon-Ismail, Malik; Mendelsohn, Eric; Newby, Matthew; Rice, Colin;


id: milkyway-home-20260505-2
file: data/en.wikipedia.org/wiki/MilkyWay@home-2.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T04:12:19.924258+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing". Proceedings of the 10th annual conference on Genetic and evolutionary computation. pp. 921–928. doi:10.1145/1389095.1389273. ISBN 9781605581309. S2CID 10952453. Cole, Nathan; Newberg, Heidi Jo; Magdon-Ismail, Malik; Desell, Travis; Dawsey, Kristopher; Hayashi, Warren; Liu, Xinyang Fred; Purnell, Jonathan; Szymanski, Boleslaw; Varela, Carlos; Willett, Benjamin; Wisniewski, James (20 August 2008). "Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails". The Astrophysical Journal. 683 (2): 750–766. arXiv:0805.2121. Bibcode:2008ApJ...683..750C. doi:10.1086/589681. S2CID 1660060. Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments". 2008 IEEE International Symposium on Parallel and Distributed Processing. pp. 1–12. doi:10.1109/IPDPS.2008.4536169. ISBN 978-1-4244-1693-6. S2CID 1107218. Szymanski, Boleslaw K.; Desell, Travis; Varela, Carlos (2008). "The Effects of Heterogeneity on Asynchronous Panmictic Genetic Search". Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science. Vol. 4967. pp. 457–468. CiteSeerX 10.1.1.78.2043. doi:10.1007/978-3-540-68111-3_48. ISBN 978-3-540-68105-2. Desell, Travis; Cole, Nathan; Magdon-Ismail, Malik; Newberg, Heidi; Szymanski, Boleslaw; Varela, Carlos (2007). "Distributed and Generic Maximum Likelihood Evaluation". Third IEEE International Conference on e-Science and Grid Computing (E-Science 2007). pp. 337–344. CiteSeerX 10.1.1.65.4065. doi:10.1109/E-SCIENCE.2007.30. ISBN 978-0-7695-3064-2. S2CID


id: mindmodeling-home-20260505-0
file: data/en.wikipedia.org/wiki/MindModeling@Home-0.md
category: reference
title: MindModeling@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MindModeling@Home
date_saved: 2026-05-05T04:12:21.237454+00:00
instance: kb-cron
parent: mindmodeling-home-20260505-0
summary:
MindModeling@Home is an inactive non-profit, volunteer computing research project for the advancement of cognitive science. MindModeling@Home is hosted by Wright State University and the University of Dayton in Dayton, Ohio. In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence. It can only operate on a 64-bit operating system, preferably on a computer with multiple cores, running a Microsoft Windows, Mac OS X, or Linux operating system. This project is not compatible with mobile devices, unlike other projects on BOINC. == Research focus == N-2 Repetition: understanding how people have a harder time returning to a task from another one Observing how people read through their eye movement for the purpose of helping people reduce eye strain and processing what they read better and faster. Modeling decision-making: resolving around decisions made from visual processing (focus and filtering) Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions How the brain performs tasks sequentially and simultaneously by measuring its blood flow == Problems == Its status is inactive. However, it is "not down or closed," as its servers are still running. The projects are long; prolonged amounts of


id: oproject-home-20260505-0
file: data/en.wikipedia.org/wiki/OProject@Home-0.md
category: reference
title: OProject@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/OProject@Home
date_saved: 2026-05-05T04:12:22.393403+00:00
instance: kb-cron
parent: oproject-home-20260505-0
summary:
OProject@Home was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) and was based on a dedicated library OLib. The project was directed by Lukasz Swierczewski, an IT student at the College of Computer Science and Business Administration in Łomża, Computer Science and Automation Institute. As of 2016 it seems to have been abandoned. == Subprojects == Shor's Algorithm Shor's Algorithm DP GSCE-SV ALX Weird Engine Shor's Algorithm and Shor's Algorithm DP were the main subprojects of OProject@Home. The objective was to test quantum algorithms (e.g. Shor's algorithm) of quantum computing. GSCE-SV verifies the correctness of Goldbach's conjecture, while ALX is a Non-CPU-intensive (nci) subproject capable of running on ARM-based CPUs running Android or Linux. It is used to research and develop artificial intelligence and computer networks. The project supports the PlayStation 3. The Weird Engine subproject calculates the weird numbers (sequence A006037 in the OEIS). Numbers are available in the project database. According to the OEIS it is the largest publicly available database of such numbers. These ongoing work on the application analyzing status of water on Earth. OProject@Home uses data from NASA and NOAA satellites. Analyzed data are taken from devices AVHRR and


