鞠生宏，清华大学航院副研究员。2014年获清华大学航院动力工程及工程热物理专业博士学位。2014-2019年在法国巴黎中央理工、日本东京大学从事博士后研究。2019-2025年任上海交通大学副教授、博导。主要研究方向为芯片热设计与热管理、AI赋能的热管理材料设计、微纳尺度传热。主持和参与国家自然科学基金面上/青年、科技部重点研发、上海市科委等项目10余项，在Phys. Rev. X、Adv. Funct. Mater.、Acta Mater.、npj Comput. Mater.等期刊发表论文100余篇。入选上海市海外高层次人才计划、上海市浦江人才计划，曾获杭州青山湖材料基因工程青年科学家奖、日本传热学会奖、清华大学优秀博士论文等奖励。
https://scholar.google.com/citations?user=1LdD0pAAAAAJ&hl=en
[1] G. Cui, Z. Guo, X. Ren, Y. Jiang, X. Jin, Y. Wu, S. Ju, Active learning for the discovery of binary intermetallic compounds as advanced interconnects, The Journal of Physical Chemistry Letters 16, 3579-3688, 2025.
[2] Y. Li, S. Lu, T. Zhang, X. Ren, S. Zhao, S. Ju, M. Li, Y. Wu, Anisotropic thermal expansion suppression of Cu doped with oriented reduced graphene oxide by anharmonic vibration restriction, Chemical Engineering Journal 510, 161484, 2025.
[3] H. Tang, R. Li, T. Song, S. Ju, Short-term optimal scheduling and comprehensive assessment of hydro-photovoltaic-wind systems augmented with hybrid pumped storage hydropower plants and diversified energy storage configurations, Applied Energy 389, 125787, 2025.
[4] Y. Rao, Y. Wu, C. Zhao, S. Ju, Heterogeneous C-C bonding induced anomalous phonon transport in superhard BC2N polymorphs, Acta Materialia 262, 119454, 2024.
[5] S. Ma, Y. Rao, X. Huang, S. Ju, High-throughput discovery of metal oxides with high thermoelectric performance via interpretable feature engineering on small data. Materials Today Physics 45, 101457, 2024.
[6] T. Liao, C. Zhao, H. Wang, S. Ju, Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast, International Journal of Heat and Mass Transfer 219, 124831, 2024.
[7] X. Huang, S. Ma, C. Zhao, H. Wang, S. Ju, Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors. npj Computational Materials 9, 191, 2023.
[8] X. Huang, S. Ma, Y. Wu, C. Wan, C. Zhao, H. Wang, S. Ju, High-throughput screening of amorphous polymers with high intrinsic thermal conductivity via automated physical feature engineering. Journal of Materials Chemistry A 11, 20539, 2023.
[9] S. Ju, R. Yoshida, C. Liu, S. Wu, K. Hongo, T. Tadano, J. Shiomi, Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning, Physical Review Materials 5, 053801, 2021.
[10] S. Ju, T. Shiga, L. Feng, Z. Hou, K. Tsuda, J. Shiomi, Designing nanostructures for phonon transport via Bayesian optimization. Physical Review X 7, 021024, 2017.
