About me

Hi there, this is Mengfan Wu

I'm a fourth-year PhD student in Intelligence Science and Technology from Shanghai Research Institute for Intelligent Autonomous Systems & School of Physics Science and Engineering at Tongji University, working under the supervision of Prof. Jie Ren.

My research lies at the intersection of artificial intelligence, computational materials, and condensed matter physics. Leveraging interpretable machine learning, graph neural network, and machine learning potential, I develop data-driven frameworks to accelerate the discovery of advanced functional materials. Currently, I'm exploring the frontiers of Agentic AI to build next-generation autonomous materials discovery systems, spanning multiple application domains:

  • Phonon Thermal Materials
  • Nonlinear Optical Materials
  • Porous Materials

If you have any questions about my research or are interested in collaboration, please feel free to email me.

Education

Sep. 2023 – Present
Sep. 2020 – Jun. 2023
Sep. 2016 – Jun. 2020

Experience

Jul. 2025 – Sep. 2025 Shanghai, China
Apr. 2025 – Jul. 2025 Shanghai, China

Selected Publications

M. Wu#, J. Tan#, Y. Zhu, J. Ren*
KappaFormer: Physics-Aware Transformer for Lattice Thermal Conductivity via Cross-Domain Transfer Learning
arXiv:2604.03547 (2026)
M. Wu, S. Yan, J. Ren*
Hierarchy-Boosted Funnel Learning for Identifying Semiconductors with Ultralow Lattice Thermal Conductivity
npj Computational Materials 11, 106 (2025) JCR Q1 Top IF=11.9
M. Wu, S. Zhang*, J. Ren*
AI-Empowered Digital Design of Zeolites: Progress, Challenges, and Perspectives
APL Materials 13, 020601 (2025) Editor's Pick JCR Q2 IF=4.5
M. Wu, C. Xie*, S. Pan*, Z. Yang* et al.
Target-Driven Design of Deep-UV Nonlinear Optical Materials via Interpretable Machine Learning
Advanced Materials 35, 2300848 (2023) JCR Q1 Top IF=26.8
M. Wu, C. Xie*, S. Pan*, Z. Yang* et al.
From Phosphate Fluoride to Fluorophosphate: Design of Novel Ultraviolet/Deep-Ultraviolet Nonlinear Optical Materials for BePO3F with Optical Property Enhancement
ACS Applied Materials & Interfaces 14, 39081 (2022) JCR Q1 IF=8.2
J. Hu, M. Wu*, J. Ren*
Machine Learning for the Generative Discovery of K+-Selective Porous Structures with Aluminum Sites
Physical Review Materials 9, 076002 (2025) JCR Q2 IF=3.4
Y. Yun#, M. Wu#, Z. Yang, G. Li*, S. Pan*
Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property-Balanced IR Functional Materials
Advanced Science 12, 2417851 (2025) JCR Q1 Top IF=14.1
C. Hu#, M. Wu#, M. Zhang#, J. Han*, S. Pan* et al.
"Cation Activation": An Effective Strategy for the Enhancement of Birefringence
Advanced Optical Materials 11, 2300579 (2025) JCR Q1 IF=7.2
Y. Yun#, M. Wu#, C. Xie, Z. Yang, G. Li*, S. Pan*
Theoretical Prediction-Assisted Synthesis and Characterization of Infrared Nonlinear Optical Material NaSrBS3
Advanced Optical Materials 11, 2300256 (2023) JCR Q1 IF=7.2
# Equal contribution  |  * Corresponding author

Awards

Outstanding Student Award
Tongji University, China
2024 — 2025
National Scholarship for Doctoral Students
Ministry of Education, China
2024 — 2025
Outstanding Scholarship for Incoming Doctoral Students
Tongji University, China
2022 — 2023
Outstanding Student Award
University of Chinese Academy of Sciences, China
2020 — 2021

Conferences

Conference of Condensed Matter Physics 2026
Poster · Liyang, China
Jun. 2026
3rd Asia-Europe Symposium on Chemistry and Materials
Poster · Ürümqi, China Best Poster Award
Aug. 2025