MENU
Sky View Through an Archway on Campus

Editing Help

Please reference the Faculty Profile Editing Guide if you have any questions or issues updating your profile. If you receive any error notices please contact webservices@mtzhjy.com.

Pei Liu

Assistant Professor | College of Engineering and Science - Mathematics and Systems Engineering

Contact Information

Personal Overview

My research area is in Applied Mathematics, with a focus on mathematical modeling, model reduction and numerical methods. 

If you are a highly-motivated undergraduate student looking for a capstone project advisor, please feel free to contact me.

I am also looking for hightly-motivated graduate students.

Educational Background

  • BS, Mathematics, Shanghai Jiao Tong University, 2012
  • BS, Physics, Shanghai Jiao Tong University, 2012
  • PhD, Applied Mathematics, Shanghai Jiao Tong University, 2017

Professional Experience

  • Postdoctoral Associate, School of Mathematics, University of Minnesota, Twin-Cities.  2019 – 2022

  • Postdoctoral Scholar, Department of Mathematics, The Pennsylvania State University, University Park, 2017 - 2019

Current Courses

  • MTH3312: Scientific Computing
  • MTH4311: Numerical Analysis
  • MTH5201: Mathematical Methods for Science and Engineering I

Selected Publications

  • X. Ji, C. Liu; P. Liu, S. Zhou, Energetic Variational Approach for Prediction of Thermal Electrokinetics in Charging and Discharging Processes of Electrical Double Layer Capacitors, Journal of Power Sources, 2022.
  • P. Liu, J. Arsuaga, M. C. Calderer, D. Golovaty, M. Vazquez, S. Walker, Helical organization of DNA-like liquid crystal filaments in cylindrical viral capsids, Proceedings of the Royal Society A, 478 (2022), 20220047.
  • P. Liu, J. Arsuaga, M. C. Calderer, D. Golovaty, M. Vazquez, S. Walker, Ion-dependent DNA Configuration in Bacteriophage Capsids, Biophysical Journal, 120 (2021), pp. 3292–3302.
  • J. Liang, P. Liu, Z. Xu, A high-accurate fast Poisson solver based on harmonic surface mapping algorithm, Communications in Computational Physics, 30 (2021), pp. 210–226.
  • Y. Wang, C. Liu, P. Liu, B. Eisenberg, Field Theory of Reaction-Diffusion: Law of Mass Action with an Energetic Variational Approach, Physical Review E, 102 (2020), 062147.
  • C.-Y. Hsieh, T.-C. Lin, C. Liu and P. Liu, Global existence of the non-isothermal Poisson–Nernst–Planck–Fourier system, Journal of Differential Equations, 269(2020), pp. 7287–7310.
  • P. Liu, S. Wu and C. Liu, Non-Isothermal Electrokinetics: Energetic Variational Approach, Communication in Mathematical Sciences, 5 (2018), pp. 1451–1463.
  • Q. Zhao, P. Liu and Z. Xu, A fast method for evaluating greens function in irregular domains with application to charge interaction in a nanopore, Communications in Computational Physics, 24 (2018), pp. 1241–1258.
  • L. Ji, P. Liu, Z. Xu and S. Zhou, Asymptotic analysis on dielectric boundary effects of modified Poisson–Nernst–Planck equations, SIAM Journal on Applied Mathematics, 78 (2018), pp. 1802–1822.
  • P. Liu, X. Ji and Z. Xu, Modified Poisson–Nernst–Planck model with accurate Coulomb correlation in variable media, SIAM Journal on Applied Mathematics, 78 (2018), pp. 226–245.
  • Z. Wu∗, P. Liu, Y. Liu, W. Wei, X. Zhang, P. Wang, Z. Xu and H. Xiong, Regulating sequence distribution of polyethers via ab initio kinetics control in anionic copolymerization, Polymer Chemistry, 8 (2017), pp. 5673–5678. 
  • P. Liu, C. Liu and Z. Xu, Generalized Shockley–Ramo Theorem in electrolytes, Communication in Mathematical Sciences, 15 (2017), pp. 555–564.
  • P. Liu, M. Ma and Z. Xu, Understanding depletion induced like-charge attraction from self-consistent field model, Communications in Computational Physics, 22 (2017), pp. 95–111.
  • Z. Xu, M. Ma and P. Liu, Self-energy modified Poisson–Nernst–Planck equations: WKB approximation and finite-difference approaches, Physics Review E, 90 (2014), 013307.
  • B. Li, P. Liu, S. Zhou and Z. Xu, Ionic size effects: Generalized Boltzmann distributions, counterion stratification, and modified Debye length, Nonlinearity, 26 (2013), pp. 2899–2922. 

Research

  • Mathematical modeling and analysis of complex fluid systems, such as the liquid crystals and electrolytes.
  • Numerical analysis and fast algorithms for partial differential equations and integral equations.
  • Asymptotic analysis and special functions.
  • Applications in energy devices, for example, the energy efficiency and charging dynamics of batteries.
  • Applications in biology, for example, configuration of bacteriophage DNA, charge transport and conformational changes in ion channels.
Edit Page