Design and Optimization of Indomethacin Nanocrystals using Machine Learning and Molecular Dynamics Simulations

Jianlu Qu, Chaoliang Jia, Yaobin Chen, Haibin Qu, Wenlong Li

Open source

DOI: 10.1208/s12249-026-03378-7
Published: 2026-03-04
Container: AAPS PharmSciTech
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1208/s12249-026-03378-7,
  title = {Design and Optimization of Indomethacin Nanocrystals using Machine Learning and Molecular Dynamics Simulations},
  author = {Jianlu Qu and Chaoliang Jia and Yaobin Chen and Haibin Qu and Wenlong Li},
  year = {2026},
  journal = {AAPS PharmSciTech},
  doi = {10.1208/s12249-026-03378-7},
  url = {https://doi.org/10.1208/s12249-026-03378-7}
}

RIS

TY  - JOUR
TI  - Design and Optimization of Indomethacin Nanocrystals using Machine Learning and Molecular Dynamics Simulations
AU  - Jianlu Qu
AU  - Chaoliang Jia
AU  - Yaobin Chen
AU  - Haibin Qu
AU  - Wenlong Li
PY  - 2026
JO  - AAPS PharmSciTech
DO  - 10.1208/s12249-026-03378-7
UR  - https://doi.org/10.1208/s12249-026-03378-7
ER  -

APA

Qu, J., Jia, C., Chen, Y., Qu, H., & Li, W. (2026). Design and Optimization of Indomethacin Nanocrystals using Machine Learning and Molecular Dynamics Simulations. AAPS PharmSciTech. https://doi.org/10.1208/s12249-026-03378-7

Source records

crossref · retrieved 2026-09-25T13:55:11.883Z