Exploring Artificial Neural Networks to Model Interatomic and Intermolecular Potential energy Surfaces

2021 ◽  
pp. 100114
Author(s):  
Mayank Dixit ◽  
Joseph Daniel ◽  
Sankar Prasad Bhattacharyya
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Potential Energy ◽  
Potential Energy Surfaces ◽  
Intermolecular Potential ◽  
Artificial Neural ◽  
Energy Surfaces

Intermolecular potential energy surfaces and spectra of Ne–HCN complex from ab initio calculations

2001 ◽  
Vol 114 (2) ◽  
pp. 764 ◽  
Author(s):  
Garold Murdachaew ◽  
Alston J. Misquitta ◽  
Robert Bukowski ◽  
Krzysztof Szalewicz
Keyword(s):  
Potential Energy ◽  
Ab Initio Calculations ◽  
Ab Initio ◽  
Potential Energy Surfaces ◽  
Intermolecular Potential ◽  
Energy Surfaces

scholarly journals Representation of coupled adiabatic potential energy surfaces using neural network based quasi-diabatic Hamiltonians: 1,2 2A′ states of LiFH

2019 ◽  
Vol 21 (26) ◽  
pp. 14205-14213 ◽  
Author(s):  
Yafu Guan ◽  
Dong H. Zhang ◽  
Hua Guo ◽  
David R. Yarkony
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Potential Energy ◽  
Potential Energy Surfaces ◽  
Adiabatic Potential ◽  
General Algorithm ◽  
Energy Surfaces

A general algorithm for determining diabatic representations from adiabatic energies, energy gradients and derivative couplings using neural networks is introduced.

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