Beyond the Fit: Towards Efficient Elucidation of Factors that Govern Selectivity and Reactivity in Synthetic Transformations - Models from Electron Density Topology

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $649,997 · view on nsf.gov ↗

Abstract

In this project co-funded by the Chemical Mechanism, Function, and Properties Program and the Chemical Synthesis Program of the Chemistry Division of the NSF, Professor Ha-Yeon (Paul) Cheong, a computational chemist at the Chemistry Department of Oregon State University (OSU, Corvallis, OR), and Professor Kevin Brown, a complex systems expert at the College of Pharmacy, have discovered a way to create mathematical models based on electron densities of the computed transition states. This enables scientists to create conceptual models and develop hypotheses of what structural features may lead to the observed chemistry in a fraction of the time it currently takes. This information can then be used to efficiently plan the next experiment. The OSU team will develop and apply these tools as well as share them so that other researchers can effectively use this new method to understand how their complex synthetic reactions work. The team will integrate this new method into upper division undergraduate/graduate chemistry courses. This project also supports collaborative research and training with a faculty member and undergraduate students from Stetson University (DeLand, FL), a primarily undergraduate liberal arts institution (PUI). In large, complex synthetic reactions, one hopes that computer models may be able to resolve the mystery of how these powerful reactions function. However, it is here where computational results are often the most bewildering. This grant addresses th

Key facts

NSF award ID
2454071
Awardee
Oregon State University (OR)
SAM.gov UEI
MZ4DYXE1SL98
PI
Ha-Yeon Cheong
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
Artificial Intelligence (AI), REU SUPP-Res Exp for Ugrd Supp
Estimated total
$649,997
Funds obligated
$649,997
Transaction type
Standard Grant
Period
09/01/2025 → 08/31/2028