Insights into the mechanical stability of tetrahydrofuran hydrates from experimental, machine learning, and molecular dynamics perspectives-Reference-Cited by-同舟云学术

Insights into the mechanical stability of tetrahydrofuran hydrates from experimental, machine learning, and molecular dynamics perspectives

Published:2024 Issue:12 Volume:16 Page:6296-6308
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Lin Yanwen¹²^ORCID,Zhou Ziyue¹^ORCID,Song Zixuan¹,Shi Qiao¹,Hao Yongchao¹,Fu Yuequn³,Li Tong²⁴^ORCID,Zhang Zhisen¹^ORCID,Wu Jianyang¹⁵^ORCID

Affiliation:

1. Department of Physics, Research Institute for Biomimetics and Soft Matter, Jiujiang Research Institute and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, PR China

2. Key Laboratory of Marine Materials and Related Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, PR China

3. PoreLab, the Njord Centre, Department of Physics, University of Oslo, Oslo 0371, Norway

4. Key Laboratory of Icing and Anti/De-icing, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China

5. NTNU Nanomechanical Lab, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway

Abstract

The multi-scale approaches including experimentation, MD simulations and ML models improve the understanding of hydrate mechanics and provide a predictive framework for estimating the mechanical properties of hydrates under complex conditions.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Higher Education Discipline Innovation Project

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NR/D3NR04940J

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