Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks.
- DOI
- 10.1039/d0sc03261a
- Published
- 2020 Oct 19
- Container
- Chemical science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1039/d0sc03261a,
title = {Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks.},
author = {Chew AK and Jiang S and Zhang W and Zavala VM and Van Lehn RC},
year = {2020},
journal = {Chemical science},
doi = {10.1039/d0sc03261a},
url = {https://doi.org/10.1039/d0sc03261a}
}RIS
TY - JOUR TI - Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks. AU - Chew AK AU - Jiang S AU - Zhang W AU - Zavala VM AU - Van Lehn RC PY - 2020 JO - Chemical science DO - 10.1039/d0sc03261a UR - https://doi.org/10.1039/d0sc03261a ER -
APA
AK, C., S, J., W, Z., VM, Z., & RC, V. L. (2020). Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks.. Chemical science. https://doi.org/10.1039/d0sc03261a
Source records
- pubmed · retrieved 2026-09-26T17:33:56.665Z
- europe-pmc · retrieved 2026-09-26T17:33:56.670Z