Efficient Generation of Permutationally Invariant Potential Energy Surfaces for Large Molecules
Author(s) -
Riccardo Conte,
Chen Qu,
Paul L. Houston,
Joel M. Bowman
Publication year - 2020
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/acs.jctc.0c00001
Subject(s) - invariant (physics) , uniqueness , fragmentation (computing) , computer science , basis set , molecule , basis (linear algebra) , algorithm , physics , mathematics , quantum mechanics , mathematical analysis , geometry , operating system
An efficient method is described for generating a fragmented, permutationally invariant polynomial basis to fit electronic energies and, if available, gradients for large molecules. The method presented rests on the fragmentation of a large molecule into any number of fragments while maintaining the permutational invariance and uniqueness of the polynomials. The new approach improves on a previous one reported by Qu and Bowman by avoiding repetition of polynomials in the fitting basis set and speeding up gradient evaluations while keeping the accuracy of the PES. The method is demonstrated for CH 3 -NH-CO-CH 3 ( N -methylacetamide) and NH 2 -CH 2 -COOH (glycine).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom