Atalar, Kemal;
Rath, Yannic;
Crespo-Otero, Rachel;
Booth, George H;
(2024)
Fast and accurate nonadiabatic molecular dynamics enabled through variational interpolation of correlated electron wavefunctions.
Faraday Discussions
10.1039/d4fd00062e.
(In press).
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Abstract
We build on the concept of eigenvector continuation to develop an efficient multi-state method for the rigorous and smooth interpolation of a small training set of many-body wavefunctions through chemical space at mean-field cost. The inferred states are represented as variationally optimal linear combinations of the training states transferred between the many-body bases of different nuclear geometries. We show that analytic multi-state forces and nonadiabatic couplings from the model enable application to nonadiabatic molecular dynamics, developing an active learning scheme to ensure a compact and systematically improvable training set. This culminates in application to the nonadiabatic molecular dynamics of a photoexcited 28-atom hydrogen chain, with surprising complexity in the resulting nuclear motion. With just 22 DMRG calculations of training states from the low-energy correlated electronic structure at different geometries, we infer the multi-state energies, forces and nonadiabatic coupling vectors at 12 000 geometries with provable convergence to high accuracy along an ensemble of molecular trajectories, which would not be feasible with a brute force approach. This opens up a route to bridge the timescales between accurate single-point correlated electronic structure methods and timescales of relevance for photo-induced molecular dynamics.
Type: | Article |
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Title: | Fast and accurate nonadiabatic molecular dynamics enabled through variational interpolation of correlated electron wavefunctions |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1039/d4fd00062e |
Publisher version: | http://dx.doi.org/10.1039/d4fd00062e |
Language: | English |
Additional information: | © Royal Society of Chemistry 2024. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (http://creativecommons.org/licenses/by/3.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
URI: | https://discovery.ucl.ac.uk/id/eprint/10196208 |
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