DFT-Machine Learning Approach for Accurate Prediction of p<i>K</i><sub>a</sub>

Robin Lawler, Yao-Hao Liu, Nessa Majaya, Omar Allam, Hyunchul Ju, Jin Young Kim, Seung Soon Jang

Open source

DOI
10.1021/acs.jpca.1c05031
Published
2021-09-23
Container
The Journal of Physical Chemistry A
Publisher
American Chemical Society (ACS)
Open access
unknown

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BibTeX

@article{allodium:10.1021/acs.jpca.1c05031,
  title = {DFT-Machine Learning Approach for Accurate Prediction of p<i>K</i><sub>a</sub>},
  author = {Robin Lawler and Yao-Hao Liu and Nessa Majaya and Omar Allam and Hyunchul Ju and Jin Young Kim and Seung Soon Jang},
  year = {2021},
  journal = {The Journal of Physical Chemistry A},
  doi = {10.1021/acs.jpca.1c05031},
  url = {https://doi.org/10.1021/acs.jpca.1c05031}
}

RIS

TY  - JOUR
TI  - DFT-Machine Learning Approach for Accurate Prediction of p<i>K</i><sub>a</sub>
AU  - Robin Lawler
AU  - Yao-Hao Liu
AU  - Nessa Majaya
AU  - Omar Allam
AU  - Hyunchul Ju
AU  - Jin Young Kim
AU  - Seung Soon Jang
PY  - 2021
JO  - The Journal of Physical Chemistry A
DO  - 10.1021/acs.jpca.1c05031
UR  - https://doi.org/10.1021/acs.jpca.1c05031
ER  - 

APA

Lawler, R., Liu, Y., Majaya, N., Allam, O., Ju, H., Kim, J. Y., & Jang, S. S. (2021). DFT-Machine Learning Approach for Accurate Prediction of p<i>K</i><sub>a</sub>. The Journal of Physical Chemistry A. https://doi.org/10.1021/acs.jpca.1c05031

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