| Experimental observation of high intrinsic thermal conductivity of AlN Z Cheng, YR Koh, A Mamun, J Shi, T Bai, K Huynh, L Yates, Z Liu, R Li, ... Physical Review Materials 4 (4), 044602, 2020 | 119 | 2020 |
| Generalized two-temperature model for coupled phonons in nanosized graphene M An, Q Song, X Yu, H Meng, D Ma, R Li, Z Jin, B Huang, N Yang Nano letters 17 (9), 5805-5810, 2017 | 85 | 2017 |
| A unified deep neural network potential capable of predicting thermal conductivity of silicon in different phases R Li, E Lee, T Luo Materials Today Physics 12, 100181, 2020 | 71 | 2020 |
| Experimental observation of localized interfacial phonon modes Z Cheng, R Li, X Yan, G Jernigan, J Shi, ME Liao, NJ Hines, CA Gadre, ... Nature communications 12 (1), 6901, 2021 | 59 | 2021 |
| A deep neural network interatomic potential for studying thermal conductivity of β-Ga2O3 R Li, Z Liu, A Rohskopf, K Gordiz, A Henry, E Lee, T Luo Applied Physics Letters 117 (15), 152102, 2020 | 57 | 2020 |
| Thermal conductance across harmonic-matched epitaxial Al-sapphire heterointerfaces Z Cheng, YR Koh, H Ahmad, R Hu, J Shi, ME Liao, Y Wang, T Bai, R Li, ... Communications Physics 3 (1), 115, 2020 | 57 | 2020 |
| Bulk-like Intrinsic Phonon Thermal Conductivity of Micrometer-Thick AlN Films YR Koh, Z Cheng, A Mamun, MS Bin Hoque, Z Liu, T Bai, K Hussain, ... ACS Applied Materials & Interfaces 12 (26), 29443-29450, 2020 | 41 | 2020 |
| Physics-informed neural networks for solving multiscale mode-resolved phonon Boltzmann transport equation R Li, E Lee, T Luo Materials Today Physics 19, 100429, 2021 | 40 | 2021 |
| Hybrid Thermal Transport Characteristics of Doped Organic Semiconductor Poly (3, 4-ethylenedioxythiophene): Tosylate X Yu, R Li, T Shiga, L Feng, M An, L Zhang, J Shiomi, N Yang The Journal of Physical Chemistry C 123 (43), 26735-26741, 2019 | 37 | 2019 |
| Effect of light atoms on thermal transport across solid–solid interfaces R Li, K Gordiz, A Henry, PE Hopkins, E Lee, T Luo Physical Chemistry Chemical Physics 21 (31), 17029-17035, 2019 | 27 | 2019 |
| Physics-informed deep learning for solving phonon Boltzmann transport equation with large temperature non-equilibrium R Li, JX Wang, E Lee, T Luo npj Computational Materials 8 (1), 29, 2022 | 23 | 2022 |
| Optically driven gold nanoparticles seed surface bubble nucleation in plasmonic suspension Q Zhang, R Li, E Lee, T Luo Nano Letters 21 (13), 5485-5492, 2021 | 15 | 2021 |
| A computational framework for modeling and simulating vibrational mode dynamics A Rohskopf, R Li, T Luo, A Henry Modelling and Simulation in Materials Science and Engineering 30 (4), 045010, 2022 | 7 | 2022 |
| Physics-Informed Deep Learning for Solving Coupled Electron and Phonon Boltzmann Transport Equations R Li, E Lee, T Luo Physical Review Applied 19 (6), 064049, 2023 | 4 | 2023 |
| A Computational Method for Studying Vibrational Mode Dynamics A Rohskopf, R Li, T Luo, A Henry arXiv preprint arXiv:2108.04795, 2021 | 3 | 2021 |
| Physics-informed neural networks for solving time-dependent mode-resolved phonon Boltzmann transport equation J Zhou, R Li, T Luo npj Computational Materials 9 (1), 212, 2023 | 2 | 2023 |
| Pre-interface scattering influenced interfacial thermal transport across solid interfaces R Li, E Lee, T Luo Nanoscale Energy Transport: Emerging phenomena, methods and applications, 3 …, 2020 | 2 | 2020 |
| Physics-informed neural networks for modeling mesoscale heat transfer using the Boltzmann transport equation J Zhou, R Li, T Luo Advances in Heat Transfer 55, 211-238, 2023 | 1 | 2023 |
| Generalized two-temperature model for coupled phonons M An, Q Song, X Yu, H Meng, D Ma, R Li, Z Jin, B Huang, N Yang arXiv preprint arXiv:1702.05237, 2017 | 1 | 2017 |
| Efficient Physics-Informed Deep Learning Model for Multiscale Thermal Analysis J Zhou, R Li, W Shang, B Zhang, Z Xu, J Panda, JX Wang, T Luo GOMACTech, Charleston, SC, 2024 | | 2024 |
Tengfei LuoDorini Family Professor, MÖNSTER (MOlecular/Nano-Sacle Transport & Energy Research) LabVerified email at nd.edu
