← Leaderboards
Olaf G Wiest
University Of Notre Dame
$19,659,274
Attributed
$22,239,214
Total exposure
13
Grants
9
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $15.6M · FY2008–23$20M$15M$10M$5M$0
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NSF$22,239,214 · 13
By mechanism
—$22,239,214 · 13
Top collaborators
- Paul Helquist7 shared
- Albert-Laszlo Barabasi1 shared
- Edward J Maginn1 shared
- Geoffrey H Siwo1 shared
- J Daniel Gezelter1 shared
- Jun Li1 shared
- Kevin Lannon1 shared
- Mark A Stadtherr1 shared
Grant awards (13)
CyberTraining: Implementation: Medium: C2D - Cybertraining for Chemical Data scientists$1,016,000
· FY2023 · CSE
Computational Prediction of Enantioselectivity in Metal-Catalyzed Reactions$620,000
· FY2023 · MPS · contact PI
IRES Track I: Development of New Ligands and Reactions in Catalysis$300,000
· FY2023 · O/D · contact PI
NSF Center for Computer-Assisted Synthesis$15,600,000
· FY2022 · MPS · contact PI
CCI Phase I: NSF Center for Computer Assisted Synthesis$1,800,000
· FY2019 · MPS · contact PI
Computational Prediction of Enantioselectivity in Metal-Catalyzed Reactions$560,000
· FY2019 · MPS · contact PI
CC* Compute: CAML - Accelerating Machine Learning via Campus and Grid$400,000
· FY2019 · CSE
IRES: Development of New Ligands and Reactions in Catalysis$250,000
· FY2017 · O/D · contact PI
Computational Prediction of Enantioselectivity in Metal-Catalyzed Reactions$515,214
· FY2016 · MPS · contact PI
Computational Prediction of Enantioselectivity in Metal-Catalyzed Reactions$500,000
· FY2011 · MPS
SGER: Computational Prediction of Enantioselectivity in Metal-Catalyzed Reactions$180,000
· FY2008 · MPS
Structure, Reactivity and Selectivity of Hydrocarbon Radical Cations$348,000
· FY2004 · MPS · contact PI
Acquisition of A High Performance Computing System$150,000
· FY2000 · MPS · contact PI