Automatic discovery of photoisomerization mechanisms with nanosecond machine learning photodynamics simulations-Reference-Cited by-同舟云学术

Automatic discovery of photoisomerization mechanisms with nanosecond machine learning photodynamics simulations

Published:2021 Issue:14 Volume:12 Page:5302-5314
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Li Jingbai¹²³⁴,Reiser Patrick⁵⁶⁷⁸,Boswell Benjamin R.⁹¹⁰¹¹⁴,Eberhard André¹²⁶⁷⁸,Burns Noah Z.⁹¹⁰¹¹⁴^ORCID,Friederich Pascal⁵⁶⁷⁸¹²,Lopez Steven A.¹²³⁴^ORCID

Affiliation:

1. Department of Chemistry and Chemical Biology

2. Northeastern University

3. Boston

4. USA

5. Institute of Nanotechnology

6. Karlsruhe Institute of Technology

7. Karlsruhe

8. Germany

9. Department of Chemistry

10. Stanford University

11. Stanford

12. Institute of Theoretical Informatics

Abstract

Photochemical reactions are widely used by academia and industry to construct complex molecular architectures via mechanisms that are often inaccessible by other means.

Funder

Office of Naval Research

National Science Foundation

Horizon 2020

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/SC/D0SC05610C

Reference48 articles.

1. Photochemical Approaches to Complex Chemotypes: Applications in Natural Product Synthesis