Our research group focuses on theoretical studies and numerical simulations of nanoscale heat conduction, investigating both normal and anomalous phonon transport. We explore the regulation of thermal energy in micro- and nanostructures, while fostering interdisciplinary collaborations with emerging fields such as materials informatics, materials science, and energy engineering. Additionally, we aim to optimize the design of thermal functional materials and devices by leveraging deep machine learning and artificial intelligence.
This project aims to open-source the foundational dataset from our team's work in the field of machine learning potential functions. We hope this will provide a reliable resource for researchers and contribute to addressing data science challenges in this area. In the future, we will continue to release additional datasets from our work. Stay tuned for updates.
If you use our results, please make sure to cite our work, as this will greatly encourage and support our efforts. Below is the relevant research:
- Unified deep learning network for enhanced accuracy in predicting thermal conductivity of bilayer graphene, hexagonal boron nitride, and their heterostructures. https://doi.org/10.1063/5.0201698
- Unraveling the mechanisms of thermal boundary conductance at the graphene-silicon interface: Insights from ballistic, diffusive, and localized phonon transport regimes. https://doi.org/10.1103/PhysRevB.109.115302
- Modulation of interface modes for resonance-induced enhancement of the interfacial thermal conductance in pillar-based Si/Ge nanowires. https://doi.org/10.1103/PhysRevB.108.235426
- To be continued......
If you're interested in our research on heat transport, feel free to explore our related work:
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Low thermal boundary resistance at bonded GaN/diamond interface by controlling ultrathin heterogeneous amorphous layer. https://doi.org/10.48550/arXiv.2404.15738
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Modulating phonon transport in bilayer black phosphorus: Unraveling the interplay of strain and interlayer quasicovalent bonds. https://doi.org/10.1103/PhysRevB.109.165413
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Non-monotonic thermal conductivity modulation in colloidal quantum dot superlattices via ligand engineering. https://doi.org/10.1016/j.mtphys.2024.101431
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Phonon Resonance Modulation in Weak van der Waals Heterostructures: Controlling Thermal Transport in Graphene-Silicon Nanoparticle Systems. https://doi.org/10.1088/1674-1056/ad1501
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Unlocking the Potential of 2D Janus Superlattices: Directly Visualizing Phonon Transitions. https://doi.org/10.1088/0256-307X/40/8/086301
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A qualitative study of the disorder effect on the phonon transport in a two-dimensional graphene/h-BN heterostructure. https://doi.org/10.3389/fmats.2022.913764
Stay tuned for more updates.
If you have any questions, please contact us at shiqian@ynu.edu.cn