Jianfeng Lu

Lu

Professor of Mathematics

Jianfeng Lu is an applied mathematician interested in mathematical analysis and algorithm development for problems from computational physics, theoretical chemistry, materials science and other related fields.

More specifically, his current research focuses include:
Electronic structure and many body problems; quantum molecular dynamics; multiscale modeling and analysis; rare events and sampling techniques.

Appointments and Affiliations

  • Professor of Mathematics
  • Associate Professor of Chemistry
  • Professor of Physics

Contact Information

  • Office Location: 242 Physics Bldg, 120 Science Drive, Durham, NC 27708
  • Office Phone: (919) 660-2875
  • Email Address: jianfeng@math.duke.edu
  • Websites:

Education

  • Ph.D. Princeton University, 2009

Awards, Honors, and Distinctions

  • IMA Prize in Mathematics and its Applications. Institute of Mathematics and its Applications. 2017
  • CAREER Award. National Science Foundation. 2015
  • Sloan Research Fellowship. Alfred P. Sloan Foundation. 2013
  • Porter Ogden Jacobus Fellowship. Princeton University. 2008

Courses Taught

  • MATH 375: Introduction to Linear Programming and Game Theory
  • MATH 394: Research Independent Study
  • MATH 493: Research Independent Study
  • MATH 494: Research Independent Study
  • MATH 631: Measure and Integration
  • MATH 660: Numerical Partial Differential Equations
  • MATH 690-60: Topics in Numerical Methods
  • MATH 690-70: Topics in Applied Mathematics
  • MATH 757: Introduction to Linear Programming and Game Theory
  • PHYSICS 590: Selected Topics in Theoretical Physics

In the News

Representative Publications

  • An, D; Cheng, SY; Head-Gordon, T; Lin, L; Lu, J, Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation, Journal of Computational Physics, vol 438 (2021) [10.1016/j.jcp.2021.110338] [abs].
  • Khoo, Y; Lu, J; Ying, L, Solving parametric PDE problems with artificial neural networks, European Journal of Applied Mathematics, vol 32 no. 3 (2021), pp. 421-435 [10.1017/S0956792520000182] [abs].
  • Lu, J; Steinerberger, S, Optimal Trapping for Brownian Motion: a Nonlinear Analogue of the Torsion Function, Potential Analysis, vol 54 no. 4 (2021), pp. 687-698 [10.1007/s11118-020-09845-5] [abs].
  • Coffman, AJ; Lu, J; Subotnik, JE, A grid-free approach for simulating sweep and cyclic voltammetry., The Journal of Chemical Physics, vol 154 no. 16 (2021) [10.1063/5.0044156] [abs].
  • Thicke, K; Watson, AB; Lu, J, Computing edge states without hard truncation, Siam Journal on Scientific Computing, vol 43 no. 2 (2021), pp. B323-B353 [10.1137/19M1282696] [abs].