| 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 |
| Crystalline polymer nanofibers with ultra-high strength and thermal conductivity R Shrestha, P Li, B Chatterjee, T Zheng, X Wu, Z Liu, T Luo, S Choi, ... Nature communications 9 (1), 1664, 2018 | 118 | 2018 |
| Thermal boundary conductance across heteroepitaxial ZnO/GaN interfaces: assessment of the phonon gas model JT Gaskins, G Kotsonis, A Giri, S Ju, A Rohskopf, Y Wang, T Bai, E Sachet, ... Nano letters 18 (12), 7469-7477, 2018 | 72 | 2018 |
| High in-plane thermal conductivity of aluminum nitride thin films MSB Hoque, YR Koh, JL Braun, A Mamun, Z Liu, K Huynh, ME Liao, ... ACS nano 15 (6), 9588-9599, 2021 | 65 | 2021 |
| Magnon and phonon dispersion, lifetime, and thermal conductivity of iron from spin-lattice dynamics simulations X Wu, Z Liu, T Luo Journal of Applied Physics 123 (8), 2018 | 58 | 2018 |
| 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), 2020 | 57 | 2020 |
| Evaluating polymer representations via quantifying structure–property relationships R Ma, Z Liu, Q Zhang, Z Liu, T Luo Journal of chemical information and modeling 59 (7), 3110-3119, 2019 | 52 | 2019 |
| 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 |
| Leverage electron properties to predict phonon properties via transfer learning for semiconductors Z Liu, M Jiang, T Luo Science advances 6 (45), eabd1356, 2020 | 35 | 2020 |
| The impact of hydrogenation on the thermal transport of silicene Z Liu, X Wu, T Luo 2D Materials 4 (2), 2017 | 35 | 2017 |
| First-principles study of thermoelectric properties of blue phosphorene Z Liu, JO Morales-Ferreiro, T Luo Applied Physics Letters 113 (6), 2018 | 21 | 2018 |
| Direct arsenic removal from water using non-membrane, low-temperature directional solvent extraction J Guo, S Luo, Z Liu, T Luo Journal of Chemical & Engineering Data 65 (6), 2938-2946, 2020 | 20 | 2020 |
| High thermal conductivity and thermal boundary conductance of homoepitaxially grown gallium nitride (GaN) thin films YR Koh, MSB Hoque, H Ahmad, DH Olson, Z Liu, J Shi, Y Wang, K Huynh, ... Physical Review Materials 5 (10), 104604, 2021 | 18 | 2021 |
| Bond saturation significantly enhances thermal energy transport in two-dimensional pentagonal materials Z Liu, X Wu, V Varshney, J Lee, G Qin, M Hu, AK Roy, T Luo Nano Energy 45, 1-9, 2018 | 14 | 2018 |
| Ballistic Thermal Transport at Sub‐10 nm Laser‐Induced Hot Spots in GaN Crystal D Huang, Q Sun, Z Liu, S Xu, R Yang, Y Yue Advanced Science 10 (2), 2204777, 2023 | 7 | 2023 |
| Phonon Dephasing Dynamics in MoS2 L Sun, P Kumar, Z Liu, J Choi, B Fang, S Roesch, K Tran, J Casara, ... Nano letters 21 (3), 1434-1439, 2021 | 7 | 2021 |
| Leveraging low-fidelity data to improve machine learning of sparse high-fidelity thermal conductivity data via transfer learning Z Liu, M Jiang, T Luo Materials Today Physics 28, 100868, 2022 | 5 | 2022 |
| Thermal transport in superconducting niobium nitride: A first-principles study Z Liu, T Luo Applied Physics Letters 118 (4), 2021 | 2 | 2021 |
| Divergent interfacial thermal transport in MoS2/Si heterostructure over optical phonon modes D Li, X Huang, Z Liu, W Liu, X Shen, Y Yue Applied Physics Letters 123 (25), 252201, 2023 | 1 | 2023 |
| Gaussian process regression machine learning models for photonic sintering K Wang, M Saeidi-Javash, M Zeng, Z Liu, Y Zhang, T Luo, AW Dowling Computer Aided Chemical Engineering 49, 1819-1824, 2022 | 1 | 2022 |
