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Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis

[Image: see text] An inversion method for time-resolved data from ultrafast experiments is introduced, based on forward-optimization in a trajectory basis. The method is applied to experimental data from X-ray scattering of the photochemical ring-opening reaction of 1,3-cyclohexadiene and electron d...

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Autores principales: Acheson, Kyle, Kirrander, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210245/
https://www.ncbi.nlm.nih.gov/pubmed/37129988
http://dx.doi.org/10.1021/acs.jctc.2c01113
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author Acheson, Kyle
Kirrander, Adam
author_facet Acheson, Kyle
Kirrander, Adam
author_sort Acheson, Kyle
collection PubMed
description [Image: see text] An inversion method for time-resolved data from ultrafast experiments is introduced, based on forward-optimization in a trajectory basis. The method is applied to experimental data from X-ray scattering of the photochemical ring-opening reaction of 1,3-cyclohexadiene and electron diffraction of the photodissociation of CS(2). In each case, inversion yields a model that reproduces the experimental data, identifies the main dynamic motifs, and agrees with independent experimental observations. Notably, the method explicitly accounts for continuity constraints and is robust even for noisy data.
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spelling pubmed-102102452023-05-26 Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis Acheson, Kyle Kirrander, Adam J Chem Theory Comput [Image: see text] An inversion method for time-resolved data from ultrafast experiments is introduced, based on forward-optimization in a trajectory basis. The method is applied to experimental data from X-ray scattering of the photochemical ring-opening reaction of 1,3-cyclohexadiene and electron diffraction of the photodissociation of CS(2). In each case, inversion yields a model that reproduces the experimental data, identifies the main dynamic motifs, and agrees with independent experimental observations. Notably, the method explicitly accounts for continuity constraints and is robust even for noisy data. American Chemical Society 2023-05-02 /pmc/articles/PMC10210245/ /pubmed/37129988 http://dx.doi.org/10.1021/acs.jctc.2c01113 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Acheson, Kyle
Kirrander, Adam
Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title_full Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title_fullStr Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title_full_unstemmed Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title_short Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis
title_sort robust inversion of time-resolved data via forward-optimization in a trajectory basis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210245/
https://www.ncbi.nlm.nih.gov/pubmed/37129988
http://dx.doi.org/10.1021/acs.jctc.2c01113
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