Enhancing Accuracy and Feature Insights in Hydration Free Energy Predictions for Small Molecules with Machine Learning
- DOI
- 10.1021/acsomega.5c04249
- Published
- 2025-07-02
- Container
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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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 = {Mingjun Han and Yukai Zhang and Taotao Yu and Guodong Du and ChiYung Yam and Ho-Kin Tang},
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 - Mingjun Han AU - Yukai Zhang AU - Taotao Yu AU - Guodong Du AU - ChiYung Yam AU - Ho-Kin Tang PY - 2025 JO - ACS Omega DO - 10.1021/acsomega.5c04249 UR - https://doi.org/10.1021/acsomega.5c04249 ER -
APA
Han, M., Zhang, Y., Yu, T., Du, G., Yam, C., & Tang, H. (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
- crossref · retrieved 2026-09-26T04:21:32.323Z