"Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium ..."

Tatiana Konstantinova et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-02-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2201-07889
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  - https://dblp.org/rec/journals/corr/abs-2201-07889
Tatiana Konstantinova, Lutz Wiegart, Maksim S. Rakitin, Anthony M. DeGennaro, Andi M. Barbour:
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution. CoRR abs/2201.07889 (2022)

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