JLJiangxu Li

Quantum Materials · Computation · Machine Learning

Jiangxu Li

I am Jiangxu Li, a postdoctoral researcher in the Department of Physics at The University of Texas at Dallas. I combine first-principles calculations, many-body modeling, high-throughput workflows, and machine learning to discover quantum materials.

Explore my research Google Scholar

Currently on the academic job market

Portrait of Jiangxu Li
PostdoctoralUT Dallas

About Jiangxu Li

01 — About

I treat phonons and electrons on equal footing—from atomic motion to emergent electronic order.

I develop data-driven and machine-learning-enabled methods for predictive quantum materials design. My work integrates first-principles calculations, high-throughput workflows, many-body models, and reusable research software.

My independent program connects multiscale structural learning with electron-phonon coupling to discover topological, correlated, and superconducting materials across realistic length and temperature scales.

3,533Citations
30h-index
47i10-index
56Peer-reviewed papers
02 — Research

Research program

One framework, across particles and scales.

01

Phonons Topology, dynamics & spectroscopy

Built an end-to-end program from first-principles force constants to symmetry, boundary spectra, and experiment-facing spectroscopy—including a 5,014-material database.

TPHONONLattice dynamicsHREELS
Explore this program 02

Electrons Topology, correlation & superconductivity

Develop realistic DFT-to-model software linking band topology to Hartree-Fock, exact diagonalization, pairing, and BdG diagnostics in quantum materials.

Moiré systemsMany-body modelsSuperconductivity
Explore this program 03

Machine learning Multiscale electron-phonon materials

Connect high-throughput automation, active-learning interatomic potentials, and molecular dynamics with electronic Hamiltonians and electron-phonon workflows.

Active learningML potentialsElectron-phonon coupling
Explore this program
03 — Background

Academic path

Materials roots, physics questions.

Sep 2025—Present

Postdoctoral Researcher

The University of Texas at Dallas

Research group: Fan Zhang
Jan 2024—Sep 2025

NSF MRSEC Postdoctoral Fellow

University of Tennessee, Knoxville

Research group: Adrian Del Maestro
Sep 2023—Dec 2023

Postdoctoral Fellow

University of Tennessee, Knoxville

Research group: Yang Zhang
Jul 2021—Aug 2023

Postdoctoral Fellow

Institute of Metal Research, Chinese Academy of Sciences

Mentors: Yan Sun and Xing-Qiu Chen
Aug 2015—Jun 2021

Ph.D. in Materials Science

University of Science and Technology of China

Sep 2011—Jun 2015

B.S. in Materials Science

Central South University

04 — Selected work

Publications

Selected research

Google Scholar ORCID
2026Bistable superlattice switching in a quantum spin Hall insulatorNature 652, 68–75 2026Interaction-Driven Topological Transitions in Monolayer TaIrTe4Physical Review X 16, 031017 2025Terahertz sensing based on the nonlinear electrodynamics of the two-dimensional correlated topological semimetal TaIrTe4Nature Electronics 8, 578–586 2024Dual quantum spin Hall insulator by density-tuned correlations in TaIrTe4Nature 628, 515–521 2024Van der Waals polarity-engineered 3D integration of 2D complementary logicNature 630, 346–352 2024Maximally localized Wannier functions, interaction models, and fractional quantum anomalous Hall effect in twisted bilayer MoTe2PNAS 121 (8), e2316749121 2024Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulationsNature Communications 15, 3079 2023Direct Observation of Topological Phonons in GraphenePhysical Review Letters 131, 116602 · Editors’ Suggestion · Featured in Physics 2021Computation and data driven discovery of topological phononic materialsNature Communications 12, 1204 2019Underlying Topological Dirac Nodal Line Mechanism of the Anomalously Large Electron-Phonon Coupling Strength on a Be (0001) SurfacePhysical Review Letters 123, 136802 · Editors’ Suggestion
05 — Teaching

Teaching philosophy

Make difficult ideas tangible.

I want students to see theoretical physics as a living way of thinking—not a finished collection of formulas. My teaching connects mathematical structure to physical intuition, computation, and observable phenomena.

In the classroom and in research mentoring, I emphasize transparent reasoning, reproducible workflows, and the confidence to move between analytical models and numerical experiments.

  • 01 Quantum Mechanics
  • 02 Condensed Matter Physics
  • 03 Computational Physics
  • 04 Topological Quantum Matter

Let’s connect

Interested in ideas, collaborations, and academic opportunities.

Start a conversation
Google Scholar ↗GitHub ↗ORCID ↗