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师资队伍

全职导师

鞠生宏

副教授

shenghong.ju@sjtu.edu.cn

地址：低碳学院主楼A333

个人主页：https://ju.sjtu.edu.cn/

教育背景
  • 2008-2014清华大学，动力工程及工程热物理，博士
  • 2004-2008南京航空航天大学，飞行器动力工程，学士
工作经历
  • 2019-至今，欧宝app官方网站下载，中英国际低碳学院，副教授
  • 2015-2019，日本东京大学，工学部，特任研究员
  • 2014-2015，法国巴黎中央理工，博士后研究员
研究方向
  • 微纳尺度传热及基于AI的主动调控
  • 智慧能源与大数据
  • 新能源材料与器件
科研项目
  • 2026-2029，国家自然科学基金面上项目，主持
  • 2024-2027，上海市科委国际合作项目，主持
  • 2024-2025，上海市教委重点项目，主持
  • 2023-2025，华为企业产学研合作项目，参与
  • 2022-2024，华为企业产学研合作项目，主持
  • 2021-2024，上海市科委基础研究领域项目，主持
  • 2021-2025，科技部重点研发项目子课题，参与
  • 2021-2023，国家自然科学基金青年科学基金项目，主持
  • 2021-2022，国电投企业产学研合作项目，主持
  • 2020-2022，云南省重大科技专项，参与
  • 2020-2022，上海市浦江人才计划项目，主持
  • 2019-2021，日本科研费KAKENHI 若手研究项目，主持
代表性论文专著
  • 专著
  1. 鞠生宏.半导体纳米结构界面导热特性的分子动力学模拟,清华大学出版社, 2018.

  • 期刊论文
  1. D. Zhang, S. Ma, Y. Wu, W. Li,S. Ju,Rational design of dual-atom δ5-borophene catalysts for nitrogen reduction reaction via density functional theory and machine learning.The Journal of Chemical Physics162,244707, 2025.
  2. D. Zhang, S. Ma, Y. Wu, W. Li,S. Ju,Unlocking C3–4products in CO electroreduction via one-step square-ring coupling on Cu4-embedded carbon nitride.Journal of Materials Chemistry A13,17952-17962, 2025.
  3. S. Ma, N. Wang,S. Ju, Tuning phonon transport via complex nanostructure design using an X+EA hybrid optimization strategy,Physical Review Materials9, 043801, 2025.
  4. 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 Letters16, 3579-3688, 2025.
  5. 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 Energy389, 125787, 2025.
  6. Y. Shao, L. Huang, W. Li, Y. Shi,S. Ju, Multi-Scale insights into competitive adsorption of CO2-CH4-N2ternary mixtures on MIL-101(Cr): From molecular behaviour to process simulation,Separation and Purification Technology365, 132691, 2025.
  7. 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 Journal510, 161484, 2025.
  8. T. Zhang, Y. Wu,S. Ju, Improving thermal expansion coefficients and mechanical properties of interconnect copper by doping Al2O3nanoparticles: insights from atomistic simulations,Physical Chemistry Chemical Physics27, 5604-5615,2025.
  9. X. Ren, G. Chen, P. Chang,S. Ju, Y. Wu, Crystal plane shielding and D-band modulation synergistically achieve durable (100) textured zinc anodes,Energy & Environmental Science18, 1867-1878, 2025.
  10. X. Jin, X. Ren, G. Cui,S. Ju, T. Hang, M. Li, Y. Wu, Unveiling electron scattering mechanism at Al-doped grain boundaries in Cu interconnects,Materials & Design,251, 113677, 2025.
  11. G. Chen, D. Zhang, X. Ren, M. Zhang,S. Ju, Y. Wu, Saturation absorbed sodium benzenesulfonate as crystallization modulating additive for dendrite-free Zn anode,Chemical Engineering Journal500, 156868, 2024.
  12. Z. Guo, R. Li, X. He, J. Guo,S. Ju, Harnessing quantum power: Revolutionizing materials design through advanced quantum computation,Materials Genome Engineering Advances2, e73, 2024.
  13. Y. Shao, S, Wang, L. Huang,S. Ju, X. Fan, W. Li, Adsorption and Diffusion of CH4, N2, and Their Mixture in MIL-101(Cr): A Molecular Simulation Study,Journal of Chemical & Engineering Data69, 4466, 2024.
  14. 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 Physics45, 101457, 2024.
  15. Y. Wu,S. Ju, F. Li, M. Zhang, X. Ren, M. Li, Tailoring crystalline orientation of electrodeposited cobalt by alkynol additives.Electrochimica Acta497, 144593, 2024.
  16. S. Guo, X. Tian, J. Yan,S. Ju, C. Zhao, Performance enhancement mechanisms of calcium-based thermochemical energy storage compounds: insights from first-principles and experimental investigations.Journal of Materials Chemistry A12, 14129, 2024.
  17. X. Huang,S. Ju, Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity.Journal of Applied Physics135, 171101, 2024.
  18. X. Huang, C. Zhao, H. Wang,S. Ju, AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers.Materials Today Physics44, 101438, 2024.
  19. W. Liu,S. Ju, Tunable Thermal Conductivity of Sustainable Geopolymers by the Si/Al Ratio and Moisture Content: Insights from Atomistic Simulations.The Journal of Physical Chemistry B128, 2972, 2024. (Selected as Front Cover Paper)
  20. Y. Shao, X. Fan, S. Wang, L. Huang,S. Ju, W. Li, Insights into adsorption and diffusion of CO2, CH4and their mixture in MIL-101(Cr) via molecular simulation,Chemical Engineering Journal480, 148215, 2024.
  21. 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 Transfer219, 124831, 2024.
  22. Y. Rao, Y. Wu, C. Zhao,S. Ju, Heterogeneous C-C bonding induced anomalous phonon transport in superhard BC2N polymorphs,Acta Materialia262, 119454, 2024.
  23. X. Huang, S. Ma, C. Zhao, H. Wang,S. Ju, Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors.npj Computational Materials9, 191, 2023.
  24. H. Uchiyama, T. Liu, T. Ono, J. Fujise, B. Liao,S. Ju, G. Chen, J. Shiomi,Quantifying doping-dependent electron-phonon scattering rates in silicon by inelastic x-ray scattering and first-principles lattice dynamics.Physical Review Materials7, 104601, 2023.
  25. X. Tian, S. Guo, S. Lin, J. Yan,S. Ju, C. Zhao,Exploring synergistic sintering factors and nanopore regeneration of calcium-based thermochemical energy storage materials.Solar Energy Materials and Solar Cells263, 112593, 2023.
  26. 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 A11, 20539, 2023.
  27. Y. Rao, C. Zhao, L. Shen,S. Ju, Large variation of electron-phonon coupling and thermal transport in two-dimensional semimetal triphosphides by modulation doping.Physical Review B108, 085413, 2023.
  28. W. Hu,S. Ju, X. Huang, F. Li, M. Li, Y. Wu, Promote Stable Lithium Deposition by Curvature Optimization Using Lithiophilic Ni Nano‐starfish@Al Structured Current Collector.Advanced Sustainable Systems7, 2300229, 2023.
  29. S. Guo, X. Tian, Y. Xu, J. Yan,S. Ju, C. Zhao, Ca/Co-based composites with improved cyclic stability and optical absorption for advanced thermochemical energy storage systems.Chemical Engineering Journal468, 143691, 2023.
  30. W. Liu, L. Qin, C. Zhao,S. Ju, Microscopic mechanism of tunable thermal conductivity in carbon nanotube-geopolymer nanocomposites.The Journal of Physical Chemistry B127, 2267, 2023.
  31. Y. Yang, X. Huang, W. Hu, Y. Rao, Y. Wu,S. Ju, Electrodeposited 3D lithiophilic Ni microvia host for long cycling Li metal anode at high current density,Electrochimica Acta441, 141797, 2023.
  32. X. Miao, C. Wang, T. Liao,S. Ju, J. Zha, W. Wang, J. Liu, Y. Zhang, Q. Ren, F. Xu, L. Caron, Novel magnetocaloric composites with outstanding thermal conductivity and mechanical properties boosted by continuous Cu network,Acta Materialia242, 118453, 2023.
  33. S. Wang, Q. Jiang,S. Ju,C. Hsu, H. Chen, D. Zhang, F. Song, Identifying the geometric catalytic active sites of crystalline cobalt oxyhydroxides for oxygen evolution reaction,Nature Communications13, 6650, 2022.
  34. Y. Rao, Y. Lu, L. Zhang,S. Ju, N. Yu, A. Zhang, L. Chen, H. Wang, A metadata schema for lattice thermal conductivity from first-principles calculations,Journal of Materials Informatics2, 17, 2022.
  35. X. Huang, S. Ma, H. Wang, S. Lin, C. Zhao, H. Wang,S. Ju, Enhancing thermoelectric properties of isotope graphene nanoribbons via machine learning guided manipulation of disordered antidots and interfaces,International Journal of Heat and Mass Transfer197, 123332, 2022.
  36. Y. Zhou, Y. Rao, L. Zhang,S. Ju, H. Wang, Machine-learning prediction of Vegard's law factor and volume size factor for binary substitutional metallic solid solutions,Acta Materialia237, 118166, 2022.
  37. D. Zhu, J. Guo, G. Yu, C. Zhao, H. Wang,S. Ju,Designing thermal radiation metamaterials via a hybrid adversarial autoencoder and Bayesian optimization,Optics Letters47, 3395, 2022.
  38. J. Guo,S. Ju, Y. Lee, A. Gunay, J. Shiomi, Photonic design for color compatible radiative cooling accelerated by materials informatics,International Journal of Heat and Mass Transfer195, 123193, 2022.
  39. C. Zhao,S. Ju, Y. Xue, T. Ren, Y. Ji, X. Chen, China's energy transitions for carbon neutrality: challenges and opportunities,Carbon Neutrality1, 7, 2022.
  40. Y. Rao, C. Zhao,S. Ju,High thermoelectric performance in metastable phase of silicon: A first-principles study,Applied Physics Letters120, 163901, 2022.
  41. W Hu, Y Rao, P Chen,S. Ju, H Ling, Y Wu, T Momma, M Li, Nano‐Cone Structured Lithiophilic Ni Film on Cu Current Collector Facilitates Li+ Ion Diffusion Toward Uniform Lithium Deposition,Advanced Materials Interfaces9,2200129, 2022.
  42. L. Wu, J. Zhang, S. Wang, Q. Jiang, R. Feng,S. Ju,W. Zhang, F. Song, Silver decorated hydroxides electrocatalysts for efficient oxygen evolution reaction,Chemical Engineering Journal442, 136168, 2022.
  43. W. Hu, Y. Yao, X. Huang,S. Ju,Z. Chen, M. Li, Y. Wu, CuO Nanofilm-Covered Cu Microcone Coating for a Long Cycle Li Metal Anode by In Situ Formed Li2O,ACS Applied Energy Materials5, 3773, 2022.
  44. P. Torres, S. Wu,S. Ju,C. Liu, T. Tadano, R. Yoshida, J. Shiomi, Descriptors of intrinsic hydrodynamic thermal transport: screening a phonon database in a machine learning approach,Journal of Physics: Condensed Matter34, 135702, 2022.
  45. 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 Materials5, 053801, 2021.
  46. Y. Wu, S. Wang,S. Ju,Z. Zhou, T. Wang, T. Hang, M. Li, Thermal oxidation fabricated copper oxide nanotip arrays with tunable wettability and robust stability: implications for microfluidic devices and oil/water separation,ACS Applied Nano Materials4, 4713, 2021.
  47. C. Shao, K. Matsuda,S. Ju,Y. Ikoma, M. Kohno, J. Shiomi, Phonon transport in multiphase nanostructured silicon fabricated by high-pressure torsion,Journal of Applied Physics129, 085101, 2021.
  48. C. Zhang,S. Ju,T. Kang, G. Park, B. Lee, H. Miao, Y. Wu, J. Yuan, J. Yu, Self-limiting growth of single-layer N-doped graphene encapsulating nickel nanoparticles for efficient hydrogen production,ACS Applied Materials & Interfaces13, 4294, 2021.
  49. S. Hu,S. Ju, C. Shao, J. Guo, B. Xu, M. Ohnishi, J. Shiomi, Ultimate impedance of coherent heat conduction in van der Waals graphene-MoS2heterostructures,Materials Today Physics16, 100324, 2021.
  50. S. Ju, S. Shimizu, J. Shiomi, Designing thermal functional materials by coupling thermal transport calculations and machine learning,Journal of Applied Physics128, 161102, 2020.
  51. M. Sasaki,S. Ju, Y. Xu, J. Shiomi, M. Goto, Identifying optimal strain in bismuth telluride thermoelectric film by combinatorial gradient thermal annealing and machine learning,ACS Combinatorial Science22, 782, 2020.
  52. R. Hu, S. Iwamoto, L. Feng,S. Ju, S. Hu, M. Ohnishi, N. Nagai, K. Hirakawa, J. Shiomi, Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction,Physical Review X10, 021050, 2020.
  53. S. Ju, Y. Miura, K. Yamamoto, K. Masuda, K. Uchida, J. Shiomi, Machine learning analysis of tunnel magnetoresistance of magnetic tunnel junctions with disordered MgAl2O4,Physical Review Research2, 023187, 2020.
  54. K. Kitai, J. Guo,S. Ju, S. Tanaka, K. Tsuda, J. Shiomi, R. Tamura, Designing metamaterials with quantum annealing and factorization machines,Physical Review Research2, 013319, 2020.
  55. K. Takahashi, M. Fujikane, Y. Liao, M. Kashiwagi, T. Kawasaki, N. Tambo,S. Ju, Y. Naito, J. Shiomi, Elastic inhomogeneity and anomalous thermal transport in ultrafine Si phononic crystals,Nano Energy71, 104581, 2020.
  56. J. Guo,S. Ju, J. Shiomi,Design of a highly selective radiative cooling structure accelerated by materials informatics,Optics Letters45, 343, 2020.
  57. S. Ju, J. Shiomi, Materials Informatics for heat transfer: recent progresses and perspectives,Nanoscale and Microscale Thermophysical Engineering23, 157, 2019.
  58. H. Yamada, C. Liu, S. Wu, Y. Koyama,S. Ju, J. Shiomi, J. Morikawa, R. Yoshida, Predicting materials properties with little data using shotgun transfer learning,ACS Central Science5, 1717, 2019.
  59. M. Kashiwagi, Y. Liao,S. Ju, A. Miura, S. Konishi, T. Shiga, T. Kodama, J. Shiomi, Scalable multi-nanostructured silicon for room-temperature thermoelectrics,ACS Applied Energy Materials2, 7083, 2019.
  60. J. Liu,S. Ju, N. Nishiyama, J. Shiomi, Anomalously low thermal conductivity in superhard cubic Si3N4,Physical Review B100,064303, 2019.
  61. A. Sakurai, K. Yada, T. Simomura,S. Ju, M. Kashiwagi, H. Okada, T. Nagao, K. Tsuda, J. Shiomi, Ultra-narrowband wavelength-selective thermal emission with aperiodic multi-layered metamaterials designed by Bayesian optimization,ACS Central Science5, 319, 2019.
  62. T. M. Dieb,S. Ju, K. Tsuda, J. Shiomi, Monte Carlo tree search for materials design and discovery,MRS Communications9, 532, 2019.
  63. Z. Feng, H. Dong,S. Ju, B. Wen, Y. Zhang, M. Roderick, High bond difference parameters-induced low thermal transmission in carbon allotropes with sp2 and sp3 hybridization,Physical Chemistry Chemical Physics21, 12611, 2019.
  64. X. Sun, H. Liu,S. Ju, Dependence of wrinkling geometric patterns on the chirality of monolayer graphene under shear deformation,Physica E: Low-dimensional Systems and Nanostructures105, 62, 2019.
  65. S. Ju, T. Shiga, L. Feng, J. Shiomi, Revisiting PbTe to identify how thermal conductivity is really limited,Physical Review B97, 184305, 2018.
  66. M. Yamawaki, M. Ohnishi,S. Ju, J. Shiomi, Multifunctional structural design of graphene thermoelectrics by Bayesian optimization,Science Advances4, eaar4192, 2018.
  67. J. T. Gaskins, G. Kotsonis, A. Giri,S. Ju, A. Rohskopf, Y. Wang, T. Bai, E. Sachet, C. T. Shelton, Z. Liu, Z. Cheng, B. M. Foley, S. Graham, T. Luo, A. Henry, Mark S. Goorsky, J. Shiomi, J. Maria, P. E. Hopkins, Thermal boundary conductance across heteroepitaxial ZnO/GaN interfaces: Assessment of the phonon gas model,Nano Letters18, 7469, 2018.
  68. S. Ju, T. Shiga, L. Feng, Z. Hou, K. Tsuda, J. Shiomi, Designing nanostructures for phonon transport via Bayesian optimization.Physical Review X7, 021024, 2017.
  69. S. Ju, B. Palpant, Y. Chalopin, Adverse effects of polymer coating on heat transport at solid-liquid interface.The Journal of Physical Chemistry C121, 13474, 2017.
  70. L. Feng, T. Shiga, H. Han,S. Ju, Y. A. Kosevich, J. Shiomi, Phonon-interference resonance effects by nanoparticles embedded in a matrix,Physical Review B96, 220301(R), 2017.
  71. T. M. Dieb,S. Ju, K. Yoshizoe, Z. Hou, J. Shiomi and K. Tsuda, MDTS: Automatic Complex Materials Design using Monte Carlo Tree Search.Science and Technology of Advanced Materials18, 498, 2017.
  72. L. Jia,S. Ju, X. Liang, X. Zhang, Tuning phonon transmission and thermal conductance by roughness at rectangular and triangular Si/Ge interface.Materials Research Express3, 095024, 2016.
  73. S. Ju, X. Liang, Detecting the phonon interference effect in Si/Ge nanocomposite by wave packets.Applied Physics Letters106, 203107, 2015.
  74. J. Liu,S. Ju, Y. Ding, R. Yang, Size effect on the thermal conductivity of ultrathin polystyrene films.Applied Physics Letters104, 153110, 2014.
  75. S. Ju, X. Liang, An atomic level investigation of grain-size-dependent thermal conductivity of polycrystalline argon by molecular dynamics.International Journal of Thermophysics35, 32, 2014.
  76. S. Ju, X. Liang, Thermal rectification and phonon scattering in silicon nanofilm with triangle holes.Acta Physica Sinica62, 026101, 2013.
  77. S. Ju, X. Liang, Investigation on interfacial thermal resistance and phonon scattering at twist boundary of silicon.Journal of Applied Physics113, 053513, 2013.
  78. S. Ju, X. Liang, An atomic level study on the out-of-plane thermal conductivity of polycrystalline argon nanofilm.Chinese Science Bulletin57, 294, 2012.
  79. S. Ju, X. Liang, Thermal rectification and phonon scattering in silicon nanofilm with cone cavity.Journal of Applied Physics112, 054312, 2012.
  80. S. Ju, X. Liang, Thermal conductivity of nanocrystalline silicon by direct molecular dynamics simulation.Journal of Applied Physics112, 064305, 2012.
  81. S. Ju, X. Liang, Thermal rectification and phonon scattering in asymmetric silicon nanoribbons.Journal of Applied Physics112, 024307, 2012.
  82. S. Ju, X. Liang, X. Xu, Out-of-plane thermal conductivity of polycrystalline silicon nanofilm by molecular dynamics simulation.Journal of Applied Physics110, 054318, 2011.
  83. S. Ju, X. Liang, Investigation of argon nanocrystalline thermal conductivity by molecular dynamics simulation.Journal of Applied Physics108, 104307, 2010.
  84. S. Ju, X. Liang, S. Wang, Investigation of interfacial thermal resistance of bi-layer nanofilms by nonequilibrium molecular dynamics.Journal of Physics D: Applied Physics43, 085407, 2010.
教学工作
  • 《最优化方法》，研究生，秋季学期
  • 《计算材料学》，本科生，春季学期
软件版权登记及专利
  1. 【专利】鞠生宏，朱德昭，张爱敏，陈力，基于神经网络和贝叶斯优化的热辐射材料设计方法及系统，2024，授权专利号：ZL202210300613.1
  2. 【软著】鞠生宏，马圣荦，张爱敏，陈力，智能优化算法快速设计纳米超材料结构辅助工具软件，2022，授权登记号：2022SR1383301
学术兼职
  • 2019-2021东京大学，工学部，客员研究员
  • 2022-2024Carbon Neutrality主编助理
  • 2022至今 中国材料与试验团体标准委员会委员
荣誉奖励
  • 2024 CSTM标准创新贡献奖
  • 2022 杭州青山湖材料基因工程青年科学家奖
  • 2020 上海市海外高层次人才计划
  • 2020 上海市浦江人才计划
  • 2019日本传热学会奖励赏
  • 2018日本应用物理学会最佳口头报告
  • 2014清华大学优秀博士学位论文

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