Electron Density Transport During Chemical Reactions

Statistical approaches are an increasingly powerful technique for characterizing changes in the electronic structure during reactions or molecular excitations. High-throughput studies in complex environments, in particular, benefit from methods that are both computationally efficient and require minimal pre- or postprocessing of electronic structure outputs. To address this need, we investigate optimal transport (OT), which compares probability distributions through a cost-minimizing transport plan. By applying OT to electron densities along a reaction coordinate and partitioning the resulting transport plan, we reveal how noncore electron density evolves during chemical processes. We demonstrate the approach on two systems: Bergman cyclization and proton transfer occurring within a water cluster. Along the intrinsic reaction coordinate of Bergman cyclization, OT yields chemically intuitive insights and complements information provided by the electron localization function. For the proton-transfer reaction, based on ab initio molecular dynamics, OT clearly identifies individual transfer events. Together, these studies demonstrate that optimal transport provides a promising new framework for investigating chemical reactivity.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-12-23
DOI
https://doi.org/10.1021/acs.jctc.5c01509
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
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article

Electron Density Transport During Chemical Reactions

Yihui Wei, Bala Krishnamoorthy, Aurora E. Clark, Enrique Alvarado et al.
Journal of Chemical Theory and Computation
Advanced Chemical Physics Studies
article

Electron Density Transport During Chemical Reactions

Yihui Wei, Bala Krishnamoorthy, Aurora E. Clark, Enrique Alvarado, Jackson Elowitt, Nathan May
article en

Abstract

Statistical approaches are an increasingly powerful technique for characterizing changes in the electronic structure during reactions or molecular excitations. High-throughput studies in complex environments, in particular, benefit from methods that are both computationally efficient and require minimal pre- or postprocessing of electronic structure outputs. To address this need, we investigate optimal transport (OT), which compares probability distributions through a cost-minimizing transport plan. By applying OT to electron densities along a reaction coordinate and partitioning the resulting transport plan, we reveal how noncore electron density evolves during chemical processes. We demonstrate the approach on two systems: Bergman cyclization and proton transfer occurring within a water cluster. Along the intrinsic reaction coordinate of Bergman cyclization, OT yields chemically intuitive insights and complements information provided by the electron localization function. For the proton-transfer reaction, based on ab initio molecular dynamics, OT clearly identifies individual transfer events. Together, these studies demonstrate that optimal transport provides a promising new framework for investigating chemical reactivity.

Journal of Chemical Theory and ComputationVol. 22(1)
Iowa State University (US), University of Utah (US), Toronto Metropolitan University (CA), Washington State University (US)
Openalex Percentile: Top 32%
Advanced Chemical Physics Studies
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Electron Density Transport During Chemical Reactions — Yihui Wei, Bala Krishnamoorthy, et al. · Journal of Chemical Theory and Computation (2025) | TGRS Research Map | TGRS