| DeePMD-kit v2: A software package for Deep Potential models J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ... Journal of Chemical Physics 159, 054801, 2023 | 238 | 2023 |
| Overview of computational fluid dynamics simulation of reactor-scale biomass pyrolysis Q Xiong, Y Yang, F Xu, Y Pan, J Zhang, K Hong, G Lorenzini, S Wang ACS Sustainable Chemistry & Engineering 5 (4), 2783–2798, 2017 | 183 | 2017 |
| Thermal transport across graphene and single layer hexagonal boron nitride J Zhang, Y Hong, Y Yue Journal of Applied Physics 117 (13), 134307, 2015 | 159 | 2015 |
| Thermal conductivity of a two-dimensional phosphorene sheet: a comparative study with graphene Y Hong, J Zhang, X Huang, XC Zeng Nanoscale 7, 18716-18724, 2015 | 144 | 2015 |
| Thermal Conductivity of Monolayer MoSe2 and MoS2 Y Hong, J Zhang, XC Zeng The Journal of Physical Chemistry C 120 (45), 26067–26075, 2016 | 135 | 2016 |
| Micro/nanoscale spatial resolution temperature probing for the interfacial thermal characterization of epitaxial graphene on 4H‐SiC Y Yue, J Zhang, X Wang small 7 (23), 3324-3333, 2011 | 131 | 2011 |
| Machine Learning and Artificial Neural Network Accelerated Computational Discoveries in Materials Science Y Hong, B Hou, H Jiang, J Zhang WIREs Computational Molecular Science 10 (3), e1450, 2020 | 116 | 2020 |
| Machine learning and artificial neural network prediction of interfacial thermal resistance between graphene and hexagonal boron nitride Y Hong, Z Zhang, J Zhang, XC Zeng Nanoscale 10 (40), 19092-19099, 2018 | 113 | 2018 |
| Tuning thermal contact conductance at graphene-copper interface via surface nanoengineering Y Hong, L Lei, XC Zeng, J Zhang Nanoscale 7, 6286-6294, 2015 | 113 | 2015 |
| Molecular dynamics simulation of the interfacial thermal resistance between phosphorene and silicon substrate J Zhang, Y Hong, M Liu, Y Yue, Q Xiong, G Lorenzini International Journal of Heat and Mass Transfer 104, 871–877, 2017 | 104 | 2017 |
| Monolayer and Bilayer Polyaniline C3N: Two-Dimensional Semiconductors with High Thermal Conductivity Y Hong, J Zhang, XC Zeng Nanoscale 10, 4301-4310, 2018 | 97 | 2018 |
| Heat transfer and flow characteristics of microchannels with solid and porous ribs F Li, Q Ma, G Xin, J Zhang, X Wang Applied Thermal Engineering 178, 115639, 2020 | 94 | 2020 |
| A Comprehensive Review on the Molecular Dynamics Simulation of the Novel Thermal Properties of Graphene J Zhang, F Xu, Y Hong, Q Xiong, J Pan RSC Advances 5, 89415-89426, 2015 | 93 | 2015 |
| Accelerated discoveries of mechanical properties of graphene using machine learning and high-throughput computation Z Zhang, Y Hong, B Hou, Z Zhang, M Negahban, J Zhang Carbon 148, 115-123, 2019 | 91 | 2019 |
| Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds Q Xiong, J Zhang, F Xu, G Wiggins, CS Daw Journal of Analytical and Applied Pyrolysis 117, 176–181, 2016 | 87 | 2016 |
| Dynamic response of graphene to thermal impulse J Zhang, X Huang, Y Yue, J Wang, X Wang Physical Review B—Condensed Matter and Materials Physics 84 (23), 235416, 2011 | 87 | 2011 |
| Rough contact is not always bad for interfacial energy coupling J Zhang, Y Wang, X Wang Nanoscale 5 (23), 11598-11603, 2013 | 86 | 2013 |
| Thermal transport across graphene/SiC interface: effects of atomic bond and crystallinity of substrate M Li, J Zhang, X Hu, Y Yue Applied Physics A 119 (2), 415-424, 2015 | 75 | 2015 |
| Thermal Contact Resistance across a Linear Heterojunction within Hybrid Graphene/Hexagonal Boron Nitride Sheet Y Hong, J Zhang, XC Zeng Physical Chemistry Chemical Physics 18, 24164-24170, 2016 | 73 | 2016 |
| Interlayer Thermal Conductance within Phosphorene and Graphene Bilayer Y Hong, J Zhang, XC Zeng Nanoscale 8, 19211-19218, 2016 | 70 | 2016 |
Yang HongUniversity of FloridaPotvrđena adresa e-pošte na ufl.edu