Predicting mechanical properties of CO <sub>2</sub> hydrates: machine learning insights from molecular dynamics simulations

Yu Zhang, Zixuan Song, Yanwen Lin, Qiao Shi, Yongchao Hao, Yuequn Fu, Jianyang Wu, Zhisen Zhang

Open source

DOI: 10.1088/1361-648x/acfa55
Published: 2023-09-27
Container: Journal of Physics: Condensed Matter
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1361-648x/acfa55,
  title = {Predicting mechanical properties of CO
                    <sub>2</sub>
                    hydrates: machine learning insights from molecular dynamics simulations},
  author = {Yu Zhang and Zixuan Song and Yanwen Lin and Qiao Shi and Yongchao Hao and Yuequn Fu and Jianyang Wu and Zhisen Zhang},
  year = {2023},
  journal = {Journal of Physics: Condensed Matter},
  doi = {10.1088/1361-648x/acfa55},
  url = {https://doi.org/10.1088/1361-648x/acfa55}
}

RIS

TY  - JOUR
TI  - Predicting mechanical properties of CO
                    <sub>2</sub>
                    hydrates: machine learning insights from molecular dynamics simulations
AU  - Yu Zhang
AU  - Zixuan Song
AU  - Yanwen Lin
AU  - Qiao Shi
AU  - Yongchao Hao
AU  - Yuequn Fu
AU  - Jianyang Wu
AU  - Zhisen Zhang
PY  - 2023
JO  - Journal of Physics: Condensed Matter
DO  - 10.1088/1361-648x/acfa55
UR  - https://doi.org/10.1088/1361-648x/acfa55
ER  -

APA

Zhang, Y., Song, Z., Lin, Y., Shi, Q., Hao, Y., Fu, Y., Wu, J., & Zhang, Z. (2023). Predicting mechanical properties of CO <sub>2</sub> hydrates: machine learning insights from molecular dynamics simulations. Journal of Physics: Condensed Matter. https://doi.org/10.1088/1361-648x/acfa55

Source records

crossref · retrieved 2026-09-26T03:57:21.099Z