Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree–Fock energies, and small subsets of the database

Molecular dissociation of hydrogen peroxide (HOOH) on a neural network ab initio potential surface with a new configuration sampling method involving gradient fitting

(2009) Hung M. Le et al.   JOURNAL OF CHEMICAL PHYSICS

Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations

(2009) M. Malshe et al.   JOURNAL OF CHEMICAL PHYSICS

Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks

(2009) A. Pukrittayakamee et al.   JOURNAL OF CHEMICAL PHYSICS

A Self-Starting Method for Obtaining Analytic Potential-Energy Surfaces from ab Initio Electronic Structure Calculations

(2009) P. M. Agrawal et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Cis→trans, trans→cis isomerizations and N–O bond dissociation of nitrous acid (HONO) on an ab initio potential surface obtained by novelty sampling and feed-forward neural network fitting

(2008) Hung M. Le et al.   JOURNAL OF CHEMICAL PHYSICS

Interpolating moving least-squares methods for fitting potential energy surfaces: A strategy for efficient automatic data point placement in high dimensions

(2008) Richard Dawes et al.   JOURNAL OF CHEMICAL PHYSICS

Using neural networks, optimized coordinates, and high-dimensional model representations to obtain a vinyl bromide potential surface

(2008) Sergei Manzhos et al.   JOURNAL OF CHEMICAL PHYSICS