Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials
Abstract
1. Introduction
2. Computational Methods
3. Results and Discussion
4. Concluding Remarks
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Mortazavi, B.; Zhuang, X. Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials. Coatings 2022, 12, 1171. https://doi.org/10.3390/coatings12081171
Mortazavi B, Zhuang X. Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials. Coatings. 2022; 12(8):1171. https://doi.org/10.3390/coatings12081171
Chicago/Turabian StyleMortazavi, Bohayra, and Xiaoying Zhuang. 2022. "Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials" Coatings 12, no. 8: 1171. https://doi.org/10.3390/coatings12081171
APA StyleMortazavi, B., & Zhuang, X. (2022). Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials. Coatings, 12(8), 1171. https://doi.org/10.3390/coatings12081171

