Welcome to our site! We are passionate about understanding physics through tools like computer simulations and machine learning. Our comprehensive articles cover topics in machine learning, information theory, physics, and more, reflecting our ongoing research journey. Documenting our work helps us deepen our understanding, and we hope it benifits others as well. We look forward to sharing our work and discussing with you. Cheers!

News and events

2024.11.04 Jie gives his doctral 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 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 in 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

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.