【个人简介】 李嘉元，分别于2021年和2026年毕业于美国Case Western Reserve University机械与航空航天工程系，获机械工程硕士学位（导师：北京大学黎波教授）和哲学博士学位（导师：Chirag Kharangate教授）。长期从事多相流动与相变传热研究，主要研究方向包括流动冷凝与沸腾、气液界面输运、先进热流体实验测量，以及人工智能辅助多相流建模与CFD数值模拟等。 自2021年起，负责或参与美国国家航空航天局（NASA）、美国海军研究所（ONR）及美国国家科学基金会（NSF）科研项目若干，相关项目累计科研经费达217万美元，主要开展多相流动冷凝与沸腾传热机理研究。截至目前，在《International Journal of Heat and Mass Transfer》《Applied Thermal Engineering》《ASME Journal of Heat and Mass Transfer》等传热传质领域国际权威期刊发表学术论文10篇，其中第一作者论文6篇。担任《International Journal of Heat and Mass Transfer》《Applied Thermal Engineering》等国际期刊审稿人。 【论文著作】 部分代表性论文： [1] Jiayuan Li; Lucas E. O'Neill; Michael G. Izenson; Chirag R. Kharangate; Data consolidation, correlations assessment, and new correlation development for pool boiling critical heat flux specific to cryogenic fluids, International Journal of Heat and Mass Transfer 213 (2023): 124315. (JCR Q1，IF=6.6) [2] Jiayuan Li; Jayachandran K. Narayanan; Chirag R. Kharangate; Experimental investigation of external flow condensation heat transfer in horizontal tube-in-tube configuration, International Journal of Heat and Mass Transfer 245 (2025): 127044. (JCR Q1，IF=6.6) [3] Jiayuan Li; Jayachandran K. Narayanan; Huigang Wang; Finnegan O'Leary; Xiaoyang Gao; Carter Richmond; Chirag R. Kharangate; Experimental study of local heat transfer during downward flow condensation in vertical tube-in-tube annulus channel, International Journal of Heat and Mass Transfer 255 (2026): 127805. (JCR Q1，IF=6.6) [4] Jiayuan Li; Chirag R. Kharangate; Physics-Assisted Machine Learning Models for Predicting Pool Boiling Critical Heat Flux for Cryogenic Fluids, ASME Journal of Heat and Mass Transfer 147, no. 4 (2025): 041603. (JCR Q2，IF=2.0) [5] Lida Yan; Jiayuan Li（共一）; Jayachandran Narayanan; Chirag R. Kharangate; Ying Sun; Acoustic emission sensing for non-destructive characterization of orientation-dependent flow condensation. International Journal of Heat and Mass Transfer 268 (2026): 129071. (JCR Q1，IF=6.6) [6] Lida Yan; Jiayuan Li; J.P. Panda; Chirag R. Kharangate; Ying Sun; Prediction of local heat transfer characteristics in flow condensation via acoustic emission sensing, Applied Thermal Engineering (2025): 129120. (JCR Q1，IF=7.5) [7] Golezani Farshad Barghi; Jiayuan Li; Forouzan Naderi; Alexander Meylikhov; Logan M. Pirnstill; Sung-Min Kim; Issam Mudawar; and Chirag Kharangate；Enhanced prediction of condensation pressure drop in mini and microchannels using physics-assisted machine learning. International Journal of Heat and Mass Transfer 255 (2026): 127838. (JCR Q1，IF=6.6) [8] O’Neill Lucas E.; Michael G. Izenson; Chirag R. Kharangate; Logan Pirnstill; Jiayuan Li; Steady boiling and transient quenching of cryogenic fluids: new experiments to enable advanced propellant tank design and operations planning. Cryogenics (2025): 104177. (JCR Q2，IF=2.5) [9] Jiayuan Li; Chirag R. Kharangate. Prediction of Critical Heat Flux for Liquid Helium Using Machine Learning Models Assisted by Physics-Based Correlation. In Heat Transfer Summer Conference, vol. 87905, p. V001T03A003. American Society of Mechanical Engineers, 2024. [10] Jiayuan Li; Jayachandran K. Narayanan; XiaoYang Gao; Chirag R. Kharangate. An Experimental Study on the Local Heat Transfer Behavior of the Shell-Side Flow Condensation. In 2025 24th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), pp. 1-6. IEEE, 2025. [11] Barghi Golezani Farshad; Jiayuan Li; Logan Pirnstill; and Chirag Kharangate. Machine learning algorithms for predicting condensation pressure drop in mini/micro channels. In Heat transfer summer conference, vol. 87905, p. V001T03A009. American Society of Mechanical Engineers, 2024. [12] Thanh-Hoang; Logan Pirnstill; Jiayuan Li; Chirag R. Kharangate. Predicting Flow Boiling Heat Transfer Coefficient Utilizing Physics-Informed Machine Learning model. In 2025 24th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), pp. 1-6. IEEE, 2025. 【课题成果】 [1] 美国海军研究局（Office of Naval Research）,科研项目, N00014-22-1-2618, Capturing Interfacial Phase-Change Physics through a Consolidated Experimental, Computational, and Data Sciences-Driven Approach, 2022.09-2025.12, 275万元, 主研 [2] 美国国家航空航天局（National Aeronautics and Space Administration）, 科研项目, 80NSSC21C0089, Continuous Correlations for Complete Boiling Curves of Cryogenic Fluid, STTR Phase I, 2021.05-2022.06, 85万元, 主研 [3] 美国国家航空航天局（National Aeronautics and Space Administration）,科研项目, 80NSSC23CA010, Continuous Correlations for Complete Boiling Curves of Cryogenic Fluid, STTR Phase II, 2022.11-2024.11, 514万元, 参与 [4] 美国海军研究局（Office of Naval Research）,科研项目, N00014-24-1-2039, Consolidated Physics-Driven Machine Learning Strategies to Advance Phase-Change Thermal Management Systems, 2023.10-2026.09, 516万元, 参与 [5] 美国国家自然科学基金（National Science Foundation）,科研项目, CBET2323023, Probing Interfacial Instabilities in Flow Boiling and Condensation via Acoustic Signature in Microgravity, 2023.08-2026.07, 185万元, 参与 【荣誉奖励】 · Swanger Graduate Fellowship Award, 2021 · Horsburgh Scholarship Award, 2023-2025 · Pau-Chang Lu Fellowship Award, 2025 【招生信息】 诚挚欢迎对多相流传热传质、先进热管理技术、能源动力、动力工程及工程热物理等方向感兴趣的本科生和研究生联系，共同开展科学研究。对于有进一步深造意愿且表现优秀的学生，可推荐至美国凯斯西储大学、北卡罗来纳大学、伊利诺伊大学香槟分校及北京大学等国内外高校继续深造。欢迎勤于思考、勇于探索、乐于实践的同学加入！ | 
