Geometrical effects on sintering dynamics of Cu–Ag core–shell nanoparticles J Wang, S Shin, A Hu The Journal of Physical Chemistry C 120 (31), 17791-17800, 2016 | 71 | 2016 |
Thermal rectification via asymmetric structural defects in graphene AY Nobakht, YA Gandomi, J Wang, MH Bowman, DC Marable, ... Carbon 132, 565-572, 2018 | 44 | 2018 |
Intergranular insulating reduced iron powder-carbonyl iron powder/SiO2-Al2O3 soft magnetic composites with high saturation magnetic flux density and low core loss K Sun, S Feng, Q Jiang, X Li, Y Li, R Fan, Y An, J Wang Journal of Magnetism and Magnetic Materials 493, 165705, 2020 | 36 | 2020 |
Room temperature nanojoining of Cu-Ag core-shell nanoparticles and nanowires J Wang, S Shin Journal of Nanoparticle Research 19, 1-13, 2017 | 32 | 2017 |
Accelerating the prediction and discovery of peptide hydrogels with human-in-the-loop T Xu, J Wang, S Zhao, D Chen, H Zhang, Y Fang, N Kong, Z Zhou, W Li, ... Nature Communications 14 (1), 3880, 2023 | 31 | 2023 |
Machine learning for thermal transport analysis of aluminum alloys with precipitate morphology J Wang, A Yousefzadi Nobakht, JD Blanks, D Shin, S Lee, A Shyam, ... Advanced Theory and Simulations 2 (4), 1800196, 2019 | 26 | 2019 |
Sintering of multiple Cu–Ag core–shell nanoparticles and properties of nanoparticle-sintered structures J Wang, S Shin Rsc Advances 7 (35), 21607-21617, 2017 | 25 | 2017 |
Effects of aluminum content on thermoelectric performance of AlxCoCrFeNi high-entropy alloys MA Al Hasan, J Wang, S Shin, DA Gilbert, PK Liaw, N Tang, ... Journal of Alloys and Compounds 883, 160811, 2021 | 23 | 2021 |
Accelerated Atomic Data Production in Ab Initio Molecular Dynamics with Recurrent Neural Network for Materials Research J Wang, C Li, S Shin, H Qi The Journal of Physical Chemistry C 124 (27), 14838-14846, 2020 | 19 | 2020 |
Concentration dependence of hydrogen diffusion in α-iron from atomistic perspectives MA Al Hasan, J Wang, YC Lim, A Hu, S Shin international journal of hydrogen energy 44 (51), 27876-27884, 2019 | 17 | 2019 |
Structural deformation and transformation of θ′-Al2Cu precipitate in Al matrix via interfacial diffusion J Wang, S Shin, AY Nobakht, A Shyam Computational Materials Science 156, 111-120, 2019 | 16 | 2019 |
Diffusion kinetics of transient liquid phase bonding of Ni-based superalloy with Ni nanoparticles: A molecular dynamics perspective J Wang, S Shin, A Hu, JK Wilt Computational Materials Science 152, 228-235, 2018 | 13 | 2018 |
Achieving ferroelectricity in a centrosymmetric high‐performance semiconductor by strain engineering M Wu, Z Lou, CM Dai, T Wang, J Wang, Z Zhu, Z Xu, T Sun, W Li, X Zheng, ... Advanced Materials 35 (22), 2300450, 2023 | 11 | 2023 |
Comprehensive evaluation and parametric sensitivity of interatomic potential models for diffusion kinetics of Cr2O3 in molecular dynamics J Wang, D Shin, S Shin AIP Advances 9 (1), 2019 | 7 | 2019 |
Deep Learning Empowers the Discovery of Self‐Assembling Peptides with Over 10 Trillion Sequences J Wang, Z Liu, S Zhao, T Xu, H Wang, SZ Li, W Li Advanced Science 10 (31), 2301544, 2023 | 5 | 2023 |
Interatomic Potential Model Development: Finite‐Temperature Dynamics Machine Learning J Wang, S Shin, S Lee Advanced Theory and Simulations 3 (2), 1900210, 2020 | 4 | 2020 |
Room temperature molecular dynamics simulations on the sintering of Cu-Ag core shell structures: Nanoparticles and nanowires J Wang, S Seungha Materials Science and Technology 2016 (MS&T16), 2016 | 2 | 2016 |
Efficient prediction of peptide self-assembly through sequential and graphical encoding Z Liu, J Wang, Y Luo, S Zhao, W Li, SZ Li Briefings in Bioinformatics 24 (6), bbad409, 2023 | 1 | 2023 |
Co-modeling the Sequential and Graphical Route for Peptide Z Liu, G Wang, J Wang, J Zheng, SZ Li arXiv preprint arXiv:2310.02964, 2023 | 1 | 2023 |
Mass Transport of Metallic Nanostructures during Sintering Process: A Molecular Dynamics Perspective J Wang Master thesis, 2018 | 1 | 2018 |