RESEARCH: CANCER
FOLDING PROJECT #15405 PROFILE

PROJECT TEAM

Manager(s): Adrija Dutta
Institution: UIUC

WORK UNIT INFO

Atoms: 127,408
Core: 0x24
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

PFAS are harmful chemicals found in water that can make people sick. This project looks at how PFAS react with other molecules to find better ways to clean up contaminated water.

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

Note: Glossary items are a high level summary and may not be 100% accurate.

PFAS

Per- and polyfluoroalkyl substances

Technical: Research & Development
Environmental Science / Water Contamination

PFAS are a group of man-made chemicals that are very persistent in the environment and can accumulate in living organisms. They are known to have harmful effects on human health, including liver damage, immune system suppression, and developmental problems.


contaminants

Substances that pollute or contaminate a substance or environment.

Scientific: Research & Development
Environmental Science / Water Contamination

Contaminants are substances that are present in an environment where they don't belong and can cause harm to living things. This can include chemicals, pollutants, or biological agents.


toxic

Poisonous or harmful to living organisms.

Scientific: Research & Development
Environmental Science / Toxicology

Toxic substances can cause damage or death to living things. The level of toxicity depends on the substance and the amount of exposure.


remediation

The process of removing or neutralizing pollutants from contaminated environments.

Technical: Research & Development
Environmental Science / Pollution Control

Remediation involves cleaning up polluted areas to make them safe for humans and the environment. This can involve physical removal of contaminants, chemical treatment, or biological processes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:31:40
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 12,244,917 71,656 170.88 0 hrs 8 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 11,941,473 395,200 30.22 0 hrs 48 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 9,712,608 422,264 23.00 1 hrs 3 mins
4 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 8,030,072 71,656 112.06 0 hrs 13 mins
5 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 8,023,308 390,288 20.56 1 hrs 10 mins
6 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,967,493 140,905 49.45 0 hrs 29 mins
7 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 6,943,049 71,656 96.89 0 hrs 15 mins
8 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 6,188,350 360,594 17.16 1 hrs 24 mins
9 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 6,056,872 71,656 84.53 0 hrs 17 mins
10 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 5,728,176 71,656 79.94 0 hrs 18 mins
11 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 5,194,289 71,656 72.49 0 hrs 20 mins
12 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,180,088 71,656 72.29 0 hrs 20 mins
13 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 4,964,782 70,360 70.56 0 hrs 20 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,924,572 334,671 14.71 1 hrs 38 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 4,006,561 84,740 47.28 0 hrs 30 mins
16 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 4,004,076 310,174 12.91 1 hrs 52 mins
17 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 3,921,159 71,656 54.72 0 hrs 26 mins
18 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 Super]
Nvidia TU106 3,857,170 71,656 53.83 0 hrs 27 mins
19 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,815,950 99,394 38.39 0 hrs 38 mins
20 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,617,631 159,897 16.37 1 hrs 28 mins
21 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 2,179,900 241,845 9.01 2 hrs 40 mins
22 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,885,352 243,729 7.74 3 hrs 6 mins
23 P104-100
GP104 [P104-100]
Nvidia GP104 1,690,839 71,656 23.60 1 hrs 1 mins
24 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,670,773 220,009 7.59 3 hrs 10 mins
25 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,599,993 71,656 22.33 1 hrs 4 mins
26 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,048,850 71,656 14.64 1 hrs 38 mins
27 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 491,915 71,656 6.86 3 hrs 30 mins
28 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 141,733 71,656 1.98 12 hrs 8 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:31:40
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make