Jianfeng Lu


Associate 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

  • Associate Professor of Mathematics

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:


  • 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 356: Elementary Differential Equations
  • MATH 375: Introduction to Linear Programming and Game Theory
  • MATH 631: Measure and Integration
  • MATH 660: Numerical Partial Differential Equations
  • MATH 690-70: Topics in Applied Mathematics
  • MATH 757: Introduction to Linear Programming and Game Theory
  • MATH 790-90: Minicourse in Advanced Topics

In the News

Representative Publications

  • Liu, JG; Lu, J; Margetis, D; Marzuola, JL, Asymmetry in crystal facet dynamics of homoepitaxy by a continuum model, Physica D: Nonlinear Phenomena, vol 393 (2019), pp. 54-67 [10.1016/j.physd.2019.01.004] [abs].
  • Wang, Z; Li, Y; Lu, J, Coordinate Descent Full Configuration Interaction., Journal of Chemical Theory and Computation, vol 15 no. 6 (2019), pp. 3558-3569 [10.1021/acs.jctc.9b00138] [abs].
  • Cao, Y; Lu, J; Lu, Y, Gradient flow structure and exponential decay of the sandwiched Rényi divergence for primitive Lindblad equations with GNS-detailed balance, Journal of Mathematical Physics, vol 60 no. 5 (2019) [10.1063/1.5083065] [abs].
  • Lu, J; Vanden-Eijnden, E, Methodological and Computational Aspects of Parallel Tempering Methods in the Infinite Swapping Limit, Journal of Statistical Physics, vol 174 no. 3 (2019), pp. 715-733 [10.1007/s10955-018-2210-y] [abs].
  • Li, Y; Lu, J, Bold diagrammatic Monte Carlo in the lens of stochastic iterative methods, Transactions of Mathematics and Its Applications, vol 3 no. 1 (2019) [10.1093/imatrm/tnz001] [abs].