RESEARCH: CANCER
FOLDING PROJECT #15406 PROFILE
PROJECT TEAM
Manager(s): Adrija DuttaInstitution: UIUC
WORK UNIT INFO
Atoms: 127,408Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
PFAS are dangerous chemicals polluting our water and causing health problems. This project looks at how PFAS interact with other molecules to find better ways to clean up PFAS contamination.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
PFAS are contaminants in water that are toxic and can cause several adverse health effects.
We are studying interactions between polymer molecules and PFAS ions and expect these studies to benefit PFAS remediation efforts..
RELATED TERMS GLOSSARY AI BETA
PFAS
Per- and polyfluoroalkyl substances
PFAS are a group of man-made chemicals that are resistant to breakdown in the environment. They are found in many everyday products and can contaminate water sources. Exposure to PFAS has been linked to various health problems, including liver damage, thyroid disease, and certain cancers.
contaminants
Substances that make water impure or harmful.
Contaminants are substances found in the environment that can pose a risk to human health and the ecosystem. These can include chemical pollutants, bacteria, viruses, and even naturally occurring materials in excess.
remediation
The process of cleaning up contaminated sites.
Remediation refers to the actions taken to remove or neutralize pollutants from soil, water, or air. It involves various techniques, such as excavation, filtration, and chemical treatment, aimed at restoring the affected environment to a safe and usable state.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:39|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 11,881,059 | 445,154 | 26.69 | 0 hrs 54 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 11,699,902 | 441,892 | 26.48 | 0 hrs 54 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 8,063,746 | 393,645 | 20.48 | 1 hrs 10 mins |
| 4 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 7,538,301 | 71,136 | 105.97 | 0 hrs 14 mins |
| 5 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 6,133,103 | 356,494 | 17.20 | 1 hrs 24 mins |
| 6 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 6,069,904 | 71,136 | 85.33 | 0 hrs 17 mins |
| 7 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,638,495 | 71,136 | 79.26 | 0 hrs 18 mins |
| 8 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 4,264,236 | 70,576 | 60.42 | 0 hrs 24 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 4,227,012 | 315,510 | 13.40 | 1 hrs 47 mins |
| 10 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 4,034,837 | 71,136 | 56.72 | 0 hrs 25 mins |
| 11 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 4,004,766 | 71,136 | 56.30 | 0 hrs 26 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,975,899 | 308,746 | 12.88 | 1 hrs 52 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 3,848,263 | 71,136 | 54.10 | 0 hrs 27 mins |
| 14 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,831,713 | 71,136 | 53.86 | 0 hrs 27 mins |
| 15 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,895,077 | 134,649 | 21.50 | 1 hrs 7 mins |
| 16 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,443,012 | 71,136 | 34.34 | 0 hrs 42 mins |
| 17 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,947,687 | 245,260 | 7.94 | 3 hrs 1 mins |
| 18 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,780,738 | 228,490 | 7.79 | 3 hrs 5 mins |
| 19 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,677,010 | 71,136 | 23.57 | 1 hrs 1 mins |
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| 20 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,657,923 | 231,265 | 7.17 | 3 hrs 21 mins |
| 21 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,505,353 | 71,136 | 21.16 | 1 hrs 8 mins |
| 22 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,123,974 | 76,069 | 14.78 | 1 hrs 37 mins |
| 23 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 480,254 | 71,136 | 6.75 | 3 hrs 33 mins |
| 24 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 357,974 | 71,136 | 5.03 | 4 hrs 46 mins |
| 25 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 224,337 | 70,360 | 3.19 | 7 hrs 32 mins |
| 26 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 141,733 | 71,136 | 1.99 | 12 hrs 3 mins |
| 27 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 137,574 | 71,136 | 1.93 | 12 hrs 25 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:39|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|