Modeling spin relaxation in complex radical systems using MolSpin

Author:

Gerhards Luca1ORCID,Nielsen Claus2ORCID,Kattnig Daniel R.3ORCID,Hore P. J.4ORCID,Solov'yov Ilia A.156ORCID

Affiliation:

1. Institute of Physics Carl von Ossietzky Universität Oldenburg Oldenburg Germany

2. Research & Development Department Unicontrol Odense Denmark

3. Department of Physics and Living Systems Institute University of Exeter Exeter UK

4. Department of Chemistry, Physical and Theoretical Chemistry Laboratory University of Oxford Oxford UK

5. Research Center for Neurosensory Science Carl von Ossietzky Universität Oldenburg Oldenburg Germany

6. Center for Nanoscale Dynamics (CENAD), Institut für Physik Carl von Ossietzky Universität Oldenburg Oldenburg Germany

Abstract

AbstractSpin relaxation is an important aspect of the spin dynamics of free radicals and can have a significant impact on the outcome of their spin‐selective reactions. Examples range from the use of radicals as spin qubits in quantum information processing to the radical pair reactions in proteins that may allow migratory birds to sense the direction of the Earth's magnetic field. Accurate modeling of spin relaxation, however, is non‐trivial. Bloch–Redfield–Wangsness theory derives a quantum mechanical master equation from system‐bath interactions in the Markovian limit that provides a comprehensive framework for describing spin relaxation. Unfortunately, the construction of the master equation is system‐specific and often resource‐heavy. To address this challenge, we introduce a generalized and efficient implementation of BRW theory as a new feature of the spin dynamics toolkit MolSpin which offers an easy‐to‐use approach for studying systems of reacting radicals of varying complexity.

Funder

Deutsche Forschungsgemeinschaft

Engineering and Physical Sciences Research Council

H2020 European Research Council

Leverhulme Trust

H. Lundbeck A/S

Office of Naval Research Global

Volkswagen Foundation

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Introducing the Automated Ligand Searcher;Journal of Chemical Information and Modeling;2023-11-20

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