Yichuan He
Education & Working Experience
2025.3- now, University of Science & Technology Beijing, Associate Professor.
2023.1-2025.2, Dalian University of Technology, Postdoc.
2019.9-2022.12, Dalian University of Technology, Ph.D.
2017.8-2019.5, Harbin Electric Group Central Research Institute, R&D Engineer
2014.9-2017.7, University of Chinese Academy of Sciences, Master
2010.9-2014.7, Harbin Engineering University, Bachelor
Research projects
1. National Natural Science Foundation of China Youth Program “Research on Heat and Mass Transfer in Two-Phase Thermosiphon Circuit Based on Physical Information Neural Network Method”, 2024-2026, Chair.
2. China Postdoctoral Science Foundation, “Research on Thermal Mass Transport Characteristics of Two-Phase Thermosiphon Circuit with High Liquid Filling Rate Regulated by Partitioning Control of Wall Wettability”, 2023-2025, Chair.
Multi-projects entrusted by enterprises
Academic Achievements
Main journal publications:
1. He Yichuan, Hu Chengzhi*, Li Hongyang, Jiang Bo, Hu Xianfeng, Wang Kuiming, Tang Dawei*. A flexible image processing technique for measuring bubble parameters based on a neural network[J]. Chemical Engineering Journal, 2022, 429:132138.
2. He Yichuan, Feng Yanhui, Qiu Lin*, Tang Dawei*. Data-driven approach augmented by attention mechanism in critical and boiling thermophysical properties prediction of fluorine/chlorine-based refrigerants[J]. Energy, 2024, 306: 132490.
3. He Yichuan, Hu Chengzhi*, Hu Xianfeng, Wang Huihui, Tang Dawei*. Assessing the enhancements in thermal performance of two-phase thermosyphon loops through riser wettability optimization[J]. International Journal of Heat and Mass Transfer, 2024, 218: 124731.
4. He Yichuan, Hu Chengzhi*, Hu Xianfeng, Xu Haochen, Tang Dawei*. Assessment of the two-phase thermosyphon loop with high filling ratio under anti-gravity. International Journal of Heat and Mass Transfer, 2023, 206:123968.
5. He Yichuan, Hu Chengzhi*, Li Hongyang, Hu Xianfeng, Tang Dawei*. Reliable predictions of bubble departure frequency in subcooled flow boiling: A machine learning-based approach[J]. International Journal of Heat and Mass Transfer, 2022, 195: 123217.
6. He Yichuan,Wang Zhicheng*,Xiang Hui,Jiang Xiaomo,Tang Dawei*. An artificial viscosity augmented physics-informed neural network for incompressible flow[J]. Applied Mathematics and Mechanics, 2023, 44(7): 1101-1110.
Honors and Awards:
1. Outstanding Thesis Award of “Wang Puxuan and Guo Zengyuan” in the Heat and Mass Transfer Conference of the Society of Engineering Thermophysics.
2.B grade in the state-sponsored postdoctoral program.
3.B grade of the State-funded Postdoctoral Research Performance Evaluation.
4.National Scholarship.
5.First Class Scholarship of DUT.
6.Outstanding Graduate Student of DUT.
7. First Class Scholarship of UCAS.
8. Third Class Scholarship of HEU.