Shenghong Ju

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	Visi	Nuo 2020
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h-rodyklė	24	22
i10-rodyklė	46	41

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Koji TsudaProfessor, GSFS, The University of TokyoPatvirtintas el. paštas k.u-tokyo.ac.jp
Changying Zhao (C. Y. Zhao)Chair Professor, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Takuma ShigaNational Metology Institute of Japan, National Institute of Advanced Industrial Science andPatvirtintas el. paštas aist.go.jp
Yunwen WUShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Stephen WuThe Institute of Statistical MathematicsPatvirtintas el. paštas ism.ac.jp
Ryo YoshidaThe Institute of Statistical MathematicsPatvirtintas el. paštas ism.ac.jp
Chang LiuThe Institute of Statistical MathematicsPatvirtintas el. paštas ism.ac.jp
Masato OhnishiThe University of TokyoPatvirtintas el. paštas photon.t.u-tokyo.ac.jp
Yongchao RaoShanghai Jiaotong UniversityPatvirtintas el. paštas sjtu.edu.cn
Asegun HenryMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Sae DiebNational Institute for Materials SciencePatvirtintas el. paštas nims.go.jp
Shiqian HuYunnan UniversityPatvirtintas el. paštas ynu.edu.cn
Shu TanakaAssociate Professor, Department of Applied Physics and Physico-Informatics, Keio UniversityPatvirtintas el. paštas appi.keio.ac.jp
Zeyu LiuAssociate Professor of Applied Physics, Hunan UniversityPatvirtintas el. paštas hnu.edu.cn
Zhe ChengPeking UniversityPatvirtintas el. paštas pku.edu.cn
Patrick E. HopkinsUniversity of VirginiaPatvirtintas el. paštas virginia.edu
John T. GaskinsCEO, Laser ThermalPatvirtintas el. paštas laserthermal.com
Samuel GrahamUniversity of MarylandPatvirtintas el. paštas umd.edu
Ashutosh GiriUniversity of Rhode IslandPatvirtintas el. paštas uri.edu
Tengfei LuoDorini Family Professor, MÖNSTER (MOlecular/Nano-Sacle Transport & Energy Research) LabPatvirtintas el. paštas nd.edu

Stebėti

Shenghong Ju

Shanghai Jiao Tong University

Patvirtintas el. paštas sjtu.edu.cn

Nanoscale heat transport Materials informatics Computational materials


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	352	2019
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	352	2017
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	179	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	171	2020
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	164	2020
Multifunctional structural design of graphene thermoelectrics by Bayesian optimization M Yamawaki, M Ohnishi, S Ju, J Shiomi Science advances 4 (6), eaar4192, 2018	145	2018
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	133	2022
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	101	2022
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	83	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	73	2017
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	67	2021
Size effect on the thermal conductivity of ultrathin polystyrene films J Liu, S Ju, Y Ding, R Yang Applied Physics Letters 104 (15), 2014	62	2014
Materials informatics for heat transfer: recent progresses and perspectives S Ju, J Shiomi Nanoscale and Microscale Thermophysical Engineering 23 (2), 157-172, 2019	59	2019
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
Thermal conductivity of nanocrystalline silicon by direct molecular dynamics simulation S Ju, X Liang Journal of Applied Physics 112 (6), 2012	48	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	47	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	44	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	40	2018
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	35	2020
Ultimate impedance of coherent heat conduction in van der Waals graphene-MoS2 heterostructures S Hu, S Ju, C Shao, J Guo, B Xu, M Ohnishi, J Shiomi Materials Today Physics 16, 100324, 2021	32	2021

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