Hi, I’m Jie Huang. Welcome to my site! I’m passionate about understanding physics through tools like computer simulations and machine learning. My past comprehensive articles cover topics in machine learning, information theory, physics, and more, reflecting my ongoing research journey. Documenting my work helps me deepen my understanding, and I hope it benefits others as well. I look forward to sharing my work and discussing with you. Cheers!
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News and events#
2025.05.06 Jie contributes a talk at ML4MD2025, Aalto University, Espoo, Finland. View slides or video record. Happy to talk Prof. Taylor Sparks, meet old colleague Rasmus Nilsson, and know Zhengtao Zhou.
2025.03.25 Jie joins the CodeRefinery workshop. Thanks to all the CSC people who prepared and contributed to this workshop. This workshop is useful; it also inspires me to move to Sphinx.
2024.11.04 Jie gives his doctoral midterm presentation, N204 Nanotalo, Aalto University. View reports or slides. Thanks to the referee Johannes Haataja and coordinator Jose Lado.
2024.09.24 Our paper about the thickness of the air-water interface is accepted by J. Chem. Theory Comput. View on arXiv.
2024.09.17 Jie gives his first talk in MLM2024, Kanazawa, Japan. View slides.
2023.05.03 Jie joins the SIN group in Aalto University as a doctoral researcher, working with Prof. Adam Foster.
2022.10.27 Jie is invited to share his experiences with the group of Prof. Shiben Li at Wenzhou University. View slides.
2022.08.31 Jie presents his work to the group members of Prof. Cai at the University of Macau. View slides.
2022.08.08 Jie starts his role as a research assistant in Prof. Yongqing Cai’s group at the IAPME, University of Macau.
2021.09.01 Jie completes his master’s degree at Wenzhou University with honors, under the guidance of Prof. Shiben Li.
Publications#
Gang Huang and Jie Huang*, Revisiting the thickness of the air-water interface from two extremes of interface hydrogen bond dynamics, J. Chem. Theory Comput. 2024. Codes
Jie Huang, Bowen Wang, Hejin Yan and Yongqing Cai*, Mechanism of interaction of water above MAPbI3 perovskite nanocluster, J. Phys. Chem. Lett. 15, 2024. Codes
Jie Huang, Gang Huang*, and Shiben Li*, A machine learning model to classify dynamic processes in liquid water, ChemPhysChem, 23, 2022.
Jie Huang, Shiben Li*, Xinghua Zhang*, and Gang Huang, Neural network model for structure factor of polymer systems, J. Chem. Phys. 150, 2020. Codes
Updates#
2025.05.07 Our website moves to Sphinx.
2024.08.17 Our website has been redesigned using Hugo as the generator, with inspiration from TeXify3 and KaTeX.
2021.10.23 An Online Forum based on Github Discussions is added to the top right corner of website.
2019.01.31 Way To Machine Learning is launched in Chengdu, China.