Education & experience

Curriculum vitae

Current Appointment

Postdoctoral researcher, Singapore University of Technology and Design (SUTD), Singapore.
Address: 8 Somapah Road, Singapore 487372.

PhD in Fundamental Mathematics, Institute of Applied Physics and Computational Mathematics, September 2021 – June 2026. Advisors: Prof. Han Wang and Prof. Wengu Chen.
Exchange Student, Georgia Institute of Technology, January – July 2020.
B.S. in Mathematics and Applied Mathematics, Taishan College, Shandong University, September 2017 – June 2021.

My research focuses on machine learning methods for multi-scale modeling, especially in quantum many-body physics and ultrafast dynamics.

Developed machine learning potentials to simulate dynamic mechanical response of materials under extreme conditions.
Proposed a neural network framework for solving the time-dependent Schrödinger equation in real space.
Familiar with deep learning techniques such as physics-informed neural networks (PINNs), graph neural networks (GNNs), and generative models.
Familiar with quantum chemistry simulation methods, including traditional methods like Hartree-Fock (HF), Full Configuration Interaction (FCI), and machine learning based methods like FermiNet.
Current research: machine learning modeling of ultrafast dynamics in quantum many-body systems.
Broader interests: Monte Carlo methods, scientific computing, uncertainty quantification.

Programming Languages: Python, C, MATLAB.
Scientific Computing: Quantum chemistry packages (PySCF), Machine learning frameworks (PyTorch, JAX), DFT software (VASP, ABACUS), Visualization tools (OVITO).
Computing Environment: Linux, Git, HPC clusters, Shell scripting.

2026
Journal on Numerical Methods and Computer Applications 47(2), 160–183
Machine Learning-Based Methods for Electronic Structure Calculations
Mengsa Wang, Enze Hou, Han Wang
2026
Machine Learning: Science and Technology 7(3), 035012
A global spacetime optimization approach to the real-space time-dependent Schrödinger equation
Enze Hou, Yuzhi Liu, Linxuan Zhang, Difa Ye, Lei Wang*, Han Wang*
arXiv
2026
Chinese Journal of High Pressure Physics 40(1), 010106
A Machine Learning Potential Model for Simulating Dynamic Mechanical Response of Pb-Sn Alloy
Enze Hou, Xiaoyang Wang, Han Wang
2026
Chinese Physics B 35(1), 018701
Revealing the dynamic responses of Pb under shock loading based on DFT-accuracy machine learning potential
Enze Hou, Xiaoyang Wang, Han Wang*
arXiv

* Corresponding author.

December 10, 2025 — “A Global Spacetime Optimization Approach to the Real-Space Time-Dependent Schrödinger Equation.” Center for Partial Differential Equations and Applications, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
August 2025 — Beijing–Tianjin–Hebei+ Computational Mathematics Academic Exchange Conference, Jinan, China.

2026 — Outstanding Graduate, Beijing Higher Education Institutions.
2026 — Outstanding Graduate, Graduate School of China Academy of Engineering Physics.
2021–2022, 2022–2023, 2023–2024 — Outstanding Graduate Student, China Academy of Engineering Physics.
2021–2022, 2022–2023 — Outstanding Graduate Student Leader, China Academy of Engineering Physics.