Deep neural network processing of DEER data

Author:

Worswick Steven G.1ORCID,Spencer James A.1,Jeschke Gunnar2ORCID,Kuprov Ilya1

Affiliation:

1. School of Chemistry, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.

2. Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology in Zurich, Vladimir Prelog Weg 2, CH-8093 Zürich, Switzerland.

Abstract

Deep neural networks successfully solve Fredholm equations and extract molecular-scale distance distributions from EPR data.

Funder

Engineering and Physical Sciences Research Council

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference68 articles.

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2. Dead-time free measurement of dipole–dipole interactions between electron spins;Pannier M.;J. Magn. Reson.,2000

3. Electron-electron double resonance in electron spin echo: Model biradical systems and the sensitized photolysis of decalin

4. Direct conversion of EPR dipolar time evolution data to distance distributions;Jeschke G.;J. Magn. Reson.,2002

5. Constructive quantum interference in a bis-copper six-porphyrin nanoring;Richert S.;Nat. Commun.,2017

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