Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies (Q94049565)
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scholarly article by Christoph A. Bauer et al published 11 September 2019 in Journal of Cheminformatics
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies |
scholarly article by Christoph A. Bauer et al published 11 September 2019 in Journal of Cheminformatics |
Statements
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies (English)
Christoph A. Bauer
Andreas H. Göller
11 September 2019
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