The November issue of Computational Chemistry Highlights is out.
CCH is an overlay journal that identifies the most important papers in computational and theoretical chemistry published in the last 1-2 years. CCH is not affiliated with any publisher: it is a free resource run by scientists for scientists. You can read more about it here.
Table of content for this issue features contributions from CCH editors Steven Bachrach and Jan Jensen:
ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
CCH is an overlay journal that identifies the most important papers in computational and theoretical chemistry published in the last 1-2 years. CCH is not affiliated with any publisher: it is a free resource run by scientists for scientists. You can read more about it here.
Table of content for this issue features contributions from CCH editors Steven Bachrach and Jan Jensen:
ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
Calculation of NMR Spin–Spin CouplingConstants in Strychnine
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Also, for your daily computational chemistry fix subscribe to Computational Chemistry Daily
This work is licensed under a Creative Commons Attribution 4.0
Interested in more? There are many ways to subscribe to CCH updates.
Also, for your daily computational chemistry fix subscribe to Computational Chemistry Daily
This work is licensed under a Creative Commons Attribution 4.0
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