Literature DB >> 29401038

Permutationally Invariant Potential Energy Surfaces.

Chen Qu1, Qi Yu1, Joel M Bowman1.   

Abstract

Over the past decade, about 50 potential energy surfaces (PESs) for polyatomics with 4-11 atoms and for clusters have been calculated using the permutationally invariant polynomial method. This is a general, mainly linear least-squares method for precise mathematical fitting of tens of thousands of electronic energies for reactive and nonreactive systems. A brief tutorial of the methodology is given, including several recent improvements. Recent applications to the formic acid dimer (the current record holder in size for a reactive system), the H2-H2O complex, and four protonated water clusters [H+(H2O)n=2,3,4,6] are given. The last application also illustrates extension to large clusters using the many-body representation.

Entities:  

Keywords:  Morse variables; invariant polynomials; potential energy surfaces

Year:  2018        PMID: 29401038     DOI: 10.1146/annurev-physchem-050317-021139

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  5 in total

1.  Machine Learning for Electronically Excited States of Molecules.

Authors:  Julia Westermayr; Philipp Marquetand
Journal:  Chem Rev       Date:  2020-11-19       Impact factor: 60.622

Review 2.  Current Status of the X + C2H6 [X ≡ H, F(2P), Cl(2P), O(3P), OH] Hydrogen Abstraction Reactions: A Theoretical Review.

Authors:  Joaquin Espinosa-Garcia; Cipriano Rangel; Jose C Corchado
Journal:  Molecules       Date:  2022-06-11       Impact factor: 4.927

Review 3.  Quantitative molecular simulations.

Authors:  Kai Töpfer; Meenu Upadhyay; Markus Meuwly
Journal:  Phys Chem Chem Phys       Date:  2022-06-01       Impact factor: 3.945

4.  Quantum Calculations on a New CCSD(T) Machine-Learned Potential Energy Surface Reveal the Leaky Nature of Gas-Phase Trans and Gauche Ethanol Conformers.

Authors:  Apurba Nandi; Riccardo Conte; Chen Qu; Paul L Houston; Qi Yu; Joel M Bowman
Journal:  J Chem Theory Comput       Date:  2022-08-11       Impact factor: 6.578

5.  Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation.

Authors:  Jinzhe Zeng; Liqun Cao; Mingyuan Xu; Tong Zhu; John Z H Zhang
Journal:  Nat Commun       Date:  2020-11-11       Impact factor: 14.919

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.