Exploring potential energy surfaces

Abstract Quantum mechanics is central to our understanding of chemistry both qualitatively and quantitatively. Modern electronic structure calculations can yield energies and structures of small to medium size molecules to chemical accuracy, thereby providing a computational model for chemistry. A potential energy surface describes the energy of a molecule as a function of its geometric parameters. The features of potential energy surfaces provide the connections between quantum mechanics and the traditional chemical concepts such as structure, bonding and reactivity. This brief perspective presents an overview of tools for exploring potential energy surfaces such as optimizing equilibrium geometries, finding transition states, following reaction paths and simulating molecular dynamics.

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Publication Details

Journal
Pure and Applied Chemistry
Published
2025-06-02
DOI
https://doi.org/10.1515/pac-2025-0486
Citations
1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.52

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article

Exploring potential energy surfaces

H. Bernhard Schlegel
1 citations
Pure and Applied Chemistry
Machine Learning in Materials Science
0.52
article

Exploring potential energy surfaces

H. Bernhard Schlegel
article en
1 citations

Abstract

Abstract Quantum mechanics is central to our understanding of chemistry both qualitatively and quantitatively. Modern electronic structure calculations can yield energies and structures of small to medium size molecules to chemical accuracy, thereby providing a computational model for chemistry. A potential energy surface describes the energy of a molecule as a function of its geometric parameters. The features of potential energy surfaces provide the connections between quantum mechanics and the traditional chemical concepts such as structure, bonding and reactivity. This brief perspective presents an overview of tools for exploring potential energy surfaces such as optimizing equilibrium geometries, finding transition states, following reaction paths and simulating molecular dynamics.

Pure and Applied ChemistryVol. 97(9)
Wayne State University (US)
Division of Chemistry
Openalex Percentile: Top 38%
Machine Learning in Materials Science
0.52
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Exploring potential energy surfaces — H. Bernhard Schlegel · Pure and Applied Chemistry (2025) | TGRS Research Map | TGRS