Jianfeng Lu

Jianfeng Lu
  • Professor of Mathematics
  • Associate Professor of Physics (Secondary)
  • Associate Professor of Chemistry (Secondary)
  • Associate Professor in Physics (Secondary)
External address: 242 Physics Bldg, 120 Science Drive, Durham, NC 27708
Internal office address: Mathematics Department, Duke University, Box 90320, Durham, NC 27708
Phone: (919) 660-2875

Research Areas and Keywords


electronic structure models, calculus of variations, semiclassical analysis

Computational Mathematics

electronic structure models, multiscale modeling and simulations, numerical analysis, rare events simulation, computational physics, time-frequency analysis, fast algorithms, stochastic numerical methods, kinetic equations, nonlinear Schrodinger equations, quantum chemistry, computational statistical mechanics, optimization, high frequency wave propagation

Mathematical Physics

electronic structure models, quantum chemistry, kinetic theory, quantum information

PDE & Dynamical Systems

multiscale modeling and simulations, numerical analysis, calculus of variations, kinetic equations, Schroedinger equations

Physical Modeling

electronic structure models, multiscale modeling and simulations, rare events simulation, computational physics, kinetic equations, nonlinear Schroedinger equations, quantum chemistry, computational statistical mechanics


rare events simulation, computational statistical mechanics, stochastic numerical methods

Signals, Images & Data

time-frequency analysis, fast algorithms, optimization, applied harmonic analysis

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.

Education & Training
  • Ph.D., Princeton University 2009

Li, Lei, et al. “A stochastic version of Stein variational gradient descent for efficient sampling.” Communications in Applied Mathematics and Computational Science, vol. 15, no. 1, Mathematical Sciences Publishers, pp. 37–63. Crossref, doi:10.2140/camcos.2020.15.37. Full Text Open Access Copy

Sen, Deborshee, et al. “Efficient posterior sampling for high-dimensional imbalanced logistic regression.” Biometrika, Oxford University Press (OUP). Crossref, doi:10.1093/biomet/asaa035. Full Text

Lu, Jianfeng, and Haizhao Yang. Preconditioning Orbital Minimization Method for Planewave Discretization. Society for Industrial and Applied Mathematics. Open Access Copy

Cao, Yu, and Jianfeng Lu. “Tensorization of the strong data processing inequality for quantum chi-square divergences.” Quantum, vol. 3, Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften, pp. 199–199. Crossref, doi:10.22331/q-2019-10-28-199. Full Text