Physical foundations
Students learn to connect quantum mechanics, statistical mechanics, and thermodynamics with the behavior of real materials systems.
Teaching
Teaching in Xie Lab connects physical reasoning, mathematical representation, and computational practice for students entering modern materials research.
Teaching philosophy
From equations to research judgment
Courses and mentoring emphasize first-principles thinking, transparent assumptions, reproducible computation, and the ability to turn abstract models into usable scientific tools.
Computational practice
Training covers atomistic simulation, first-principles workflows, data analysis, and research computing habits that support reproducible work.
AI with scientific constraints
Machine learning is taught as part of a science-grounded workflow: representation, validation, uncertainty, and physical interpretability remain central.
Courses
Courses
Teaching activities span undergraduate instruction and graduate computational materials training.
Undergraduate courses
Recent undergraduate teaching
Recent undergraduate teaching includes Quantum Mechanics and Computer Networks for Qian Weichang College students.
| Semester | Course No. | Course | Credits | Students |
|---|---|---|---|---|
| 2024-2025 Spring | 815392 | Quantum Mechanics | 4 | 29 |
| 2024-2025 Spring | 815392 | Quantum Mechanics | 4 | 15 |
| 2023-2024 Spring | 815392 | Quantum Mechanics | 4 | 13 |
| 2022-2023 Spring | 815392 | Quantum Mechanics | 4 | 14 |
| 2021-2022 Winter | 816271 | Computer Networks | 2 | 7 |
| 2020-2021 Winter | 816271 | Computer Networks | 2 | 15 |
Graduate courses
Graduate teaching
Graduate teaching includes crystal structure, bonding, and electronic-structure reasoning for materials properties.
| Semester | Course No. | Course | Credits | Students |
|---|---|---|---|---|
| 2021-2022 Winter | 3XS101064 | Structure and Bonding in Crystals | 4 | 8 |
Mentoring
Research Mentoring
Research mentoring connects scientific reading, reproducible computation, writing, and AI-enabled materials design.
Graduate and undergraduate students
Scientific training
Mentoring includes literature reading, scientific writing, simulation workflows, AI-enabled materials design, and full-program advising for Qian Weichang College students.