PhD · XJTU
About the author · Site

Self Introduction

Plasma simulation, physics-informed ML, diagnostics, and prompt engineering. Currently a PhD candidate at Xi'an Jiaotong University.

Contact

Email: tomzhu0225@stu.xjtu.edu.cn
Phone: +86 15724571656
Location: Xi'an, Shaanxi, China

Education

  • Ph.D. Candidate, Electrical Engineering, Xi'an Jiaotong University (Sept 2024 – present)
  • Visiting Student, CentraleSupélec / Univ. Paris-Saclay (Sept 2022 – Jun 2024)
  • B.Sc. Energy & Power Engineering, Xi'an Jiaotong University (Sept 2020 – Jun 2024)

Research Focus

Plasma simulation · Physics-informed ML · Plasma diagnostics · Prompt engineering

TOEFL 107 · French B1

Scholarships

  • Fusenet funding — Fusion research internship (Ghent University), Jun 2023
  • Fusenet funding — Culham Plasma Physics Summer School, Apr 2023
  • Eiffel Scholarship (French Government, long-term), Apr 2022
  • Xi'an Jiaotong University third-class scholarship, Jun 2021
  • Yvying scholarship (long-term), Sept 2020

Experience & Schools

  • Research Internship, NIFS Global Simulation Unit (Japan) — Jun 2024 – Sept 2024
  • Research Internship, Research Unit Nuclear Fusion (Ghent, Belgium) — Jun 2023 – Sept 2023
  • Culham Plasma Physics Summer School (UKAEA, UK) — Jul 2023

Publications

  • Unified Bayesian inversion for HEDP plasmas — invited, Physics of Plasmas (in prep.)
  • Two-fluid effects in Z-pinch ablation — under review, Physical Review Letters (2025)
  • Partition-of-Unity flow-based solver for kinetic plasmas — under review, JCP (2025), arXiv:2501.16390
  • Physics-embedded Neural ODE mode prediction — PPCF, 67(8), 085038 (2025)
  • Learning ODEs without internal solvers — Reachability Problems, pp. 221-237 (2024)

Talks

  • Flow-Based Hybrid Kinetic Simulation — PPPS2025 (Berlin), Oral
  • Flow-Based Kinetic Simulation of Z-Pinch Dynamics — ICMRE 2025 (Xi'an), Oral

Projects

  • Neural ODE Simulation of Electron Accelerator (Dec 2022 – Apr 2024): 85% runtime reduction vs ASTRA for ThomX.
  • Fusion H-mode ELMs via Markov Chains (Jun 2023 – Sept 2023): Temporal analysis on JET data.

Last updated: 2025-12-10.