Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings

Experimental conditions can both hamper and enhance the capacity of neural networks to map multidimensional electronic spectra to molecular properties.

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Publication Details

Journal
Digital Discovery
Published
2025-01-01
DOI
https://doi.org/10.1039/d5dd00125k
Citations
2
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
2.49

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article

Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings

David N. Beratan, Kelsey A. Parker, Jonathan D. Schultz, Bashir Sbaiti
2 citations
Digital Discovery
Spectroscopy and Quantum Chemical Studies
2.49
article

Using machine learning to map simulated noisy and laser-limited multidimensional spectra to molecular electronic couplings

David N. Beratan, Kelsey A. Parker, Jonathan D. Schultz, Bashir Sbaiti
article en
2 citations

Abstract

Experimental conditions can both hamper and enhance the capacity of neural networks to map multidimensional electronic spectra to molecular properties.

Digital DiscoveryVol. 4(7)
Duke University (US)
U.S. Department of Energy, Arnold and Mabel Beckman Foundation, Basic Energy Sciences
Openalex Percentile: Top 11%
Spectroscopy and Quantum Chemical Studies
2.49
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