Authors: Keeley, Jake, Choudhury, Tajwar, Galazzo, Laura, Bordignon, Enrica, Feintuch, Akiva, Goldfarb, Daniella, Russell, Hannah, Taylor, Michael J, Lovett, Janet E., Eggeling, Andrea, Fábregas Ibáñez, Luis, Keller, Katharina, Yulikov, Maxim, Jeschke, Gunnar, Kuprov, Ilya
Venue: Journal of Magnetic Resonance
Type: Publication
Abstract: This is a methodological guide to the use of deep neural networks in the processing of pulsed dipolar spectroscopy (PDS) data encountered in structural biology, organic photovoltaics, photosynthesis research, and other domains featuring long-lived radical pairs and paramagnetic metal ions. PDS uses distance dependence of magnetic dipolar interactions; measuring a single well-defined distance is straightforward, but extracting distance distributions is a hard and mathematically ill-posed problem requiring careful regularisation and background fi...
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Topics: 
Artificial intelligence
Chemical physics
Statistical physics
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