• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • About REMIND
  • Research
  • Publications
  • People
  • News
  • Opportunities
  • Contact Us

Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics

Texas A&M University College of Engineering

Hao-En (Ryan) Lai

ryan_lai@tamu.edu

Hao-En (Ryan) received his Ph.D. in Chemical Engineering from Texas A&M University on 2025, where he worked in the Computational Materials Group under Dr. Perla Balbuena. He earned his B.S.E. from National Taiwan University. His research interests focus on integrating Density Functional Theory (DFT), molecular dynamics, Kinetic Monte Carlo and machine learning to elucidate surface and interfacial transport processes in battery electrolytes and 2D MXene electrocatalysts. As part of ReMIND projects, He will be responsible for understanding ionic and electronic behavior of transition metal oxides that emulate neuronal behavior, using first principles calculations.

Google scholar

People by Department

  • LBNL
  • NREL
  • Sandia National Lab
  • Texas A&M University
    • People by Roles

    • Leadership
    • Principal Investigators
    • Researchers
      • Senior Researchers
      • Post Doc
      • PhD
      • Undergraduate
    • Staff
    • Alumni
      • © 2016–2026 Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics Log in

        Texas A&M Engineering Experiment Station Logo
        • College of Engineering
        • twitter
        • State of Texas
        • Open Records
        • Risk, Fraud & Misconduct Hotline
        • Statewide Search
        • Site Links & Policies
        • Accommodations
        • Environmental Health, Safety & Security
        • Employment