| Designing nanostructures for phonon transport via Bayesian optimization S Ju, T Shiga, L Feng, Z Hou, K Tsuda, J Shiomi Physical Review X 7 (2), 021024, 2017 | 328 | 2017 |
| Predicting materials properties with little data using shotgun transfer learning H Yamada, C Liu, S Wu, Y Koyama, S Ju, J Shiomi, J Morikawa, ... ACS central science 5 (10), 1717-1730, 2019 | 296 | 2019 |
| Ultranarrow-band wavelength-selective thermal emission with aperiodic multilayered metamaterials designed by Bayesian optimization A Sakurai, K Yada, T Simomura, S Ju, M Kashiwagi, H Okada, T Nagao, ... ACS central science 5 (2), 319-326, 2019 | 162 | 2019 |
| Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction R Hu, S Iwamoto, L Feng, S Ju, S Hu, M Ohnishi, N Nagai, K Hirakawa, ... Physical Review X 10 (2), 021050, 2020 | 145 | 2020 |
| Multifunctional structural design of graphene thermoelectrics by Bayesian optimization M Yamawaki, M Ohnishi, S Ju, J Shiomi Science advances 4 (6), eaar4192, 2018 | 129 | 2018 |
| Designing metamaterials with quantum annealing and factorization machines K Kitai, J Guo, S Ju, S Tanaka, K Tsuda, J Shiomi, R Tamura Physical Review Research 2 (1), 013319, 2020 | 111 | 2020 |
| 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 | 70 | 2018 |
| MDTS: automatic complex materials design using Monte Carlo tree search T M. Dieb, S Ju, K Yoshizoe, Z Hou, J Shiomi, K Tsuda Science and technology of advanced materials 18 (1), 498-503, 2017 | 69 | 2017 |
| Size effect on the thermal conductivity of ultrathin polystyrene films J Liu, S Ju, Y Ding, R Yang Applied Physics Letters 104 (15), 2014 | 61 | 2014 |
| China’s energy transitions for carbon neutrality: Challenges and opportunities C Zhao, S Ju, Y Xue, T Ren, Y Ji, X Chen Carbon Neutrality 1 (1), 7, 2022 | 57 | 2022 |
| Materials informatics for heat transfer: recent progresses and perspectives S Ju, J Shiomi Nanoscale and Microscale Thermophysical Engineering 23 (2), 157-172, 2019 | 51 | 2019 |
| Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning S Ju, R Yoshida, C Liu, S Wu, K Hongo, T Tadano, J Shiomi Physical Review Materials 5 (5), 053801, 2021 | 49 | 2021 |
| Investigation of interfacial thermal resistance of bi-layer nanofilms by nonequilibrium molecular dynamics S Ju, X Liang, S Wang Journal of Physics D: Applied Physics 43 (8), 085407, 2010 | 49 | 2010 |
| Identifying the geometric catalytic active sites of crystalline cobalt oxyhydroxides for oxygen evolution reaction S Wang, Q Jiang, S Ju, CS Hsu, HM Chen, D Zhang, F Song Nature Communications 13 (1), 6650, 2022 | 44 | 2022 |
| Thermal conductivity of nanocrystalline silicon by direct molecular dynamics simulation S Ju, X Liang Journal of Applied Physics 112 (6), 2012 | 44 | 2012 |
| Investigation on interfacial thermal resistance and phonon scattering at twist boundary of silicon SH Ju, XG Liang Journal of Applied Physics 113 (5), 2013 | 43 | 2013 |
| Monte Carlo tree search for materials design and discovery TM Dieb, S Ju, J Shiomi, K Tsuda MRS Communications 9 (2), 532-536, 2019 | 39 | 2019 |
| Revisiting PbTe to identify how thermal conductivity is really limited S Ju, T Shiga, L Feng, J Shiomi Physical Review B 97 (18), 184305, 2018 | 34 | 2018 |
| Phonon-interference resonance effects by nanoparticles embedded in a matrix L Feng, T Shiga, H Han, S Ju, YA Kosevich, J Shiomi Physical Review B 96 (22), 220301, 2017 | 31 | 2017 |
| Elastic inhomogeneity and anomalous thermal transport in ultrafine Si phononic crystals K Takahashi, M Fujikane, Y Liao, M Kashiwagi, T Kawasaki, N Tambo, ... Nano Energy 71, 104581, 2020 | 30 | 2020 |
Junichiro ShiomiThe University of TokyoVerified email at photon.t.u-tokyo.ac.jp
