Enhancing Accuracy and Feature Insights in Hydration Free Energy Predictions for Small Molecules with Machine Learning.

Han M, Zhang Y, Yu T, Du G, Yam C, Tang HK

DOI: 10.1021/acsomega.5c04249
Published: 2025 Jul 15
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.5c04249,
  title = {Enhancing Accuracy and Feature Insights in Hydration Free Energy Predictions for Small Molecules with Machine Learning.},
  author = {Han M and Zhang Y and Yu T and Du G and Yam C and Tang HK},
  year = {2025},
  journal = {ACS omega},
  doi = {10.1021/acsomega.5c04249},
  url = {https://doi.org/10.1021/acsomega.5c04249}
}

RIS

TY  - JOUR
TI  - Enhancing Accuracy and Feature Insights in Hydration Free Energy Predictions for Small Molecules with Machine Learning.
AU  - Han M
AU  - Zhang Y
AU  - Yu T
AU  - Du G
AU  - Yam C
AU  - Tang HK
PY  - 2025
JO  - ACS omega
DO  - 10.1021/acsomega.5c04249
UR  - https://doi.org/10.1021/acsomega.5c04249
ER  -

APA

M, H., Y, Z., T, Y., G, D., C, Y., & HK, T. (2025). Enhancing Accuracy and Feature Insights in Hydration Free Energy Predictions for Small Molecules with Machine Learning.. ACS omega. https://doi.org/10.1021/acsomega.5c04249

Source records

pubmed · retrieved 2026-11-10T08:38:25.709Z