Jianfeng Lu

Jianfeng Lu
  • Associate 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

Analysis

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

Probability

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

Chen, H., et al. “A numerical method for coupling the BGK model and Euler equations through the linearized Knudsen layer.” Journal of Computational Physics, vol. 398, Dec. 2019. Scopus, doi:10.1016/j.jcp.2019.108893. Full Text

Lu, J., et al. “Approximating pointwise products of Laplacian eigenfunctions.” Journal of Functional Analysis, vol. 277, no. 9, Nov. 2019, pp. 3271–82. Scopus, doi:10.1016/j.jfa.2019.05.025. Full Text

Cao, Y., et al. “Exponential Decay of Rényi Divergence Under Fokker–Planck Equations.” Journal of Statistical Physics, vol. 176, no. 5, Sept. 2019, pp. 1172–84. Scopus, doi:10.1007/s10955-019-02339-8. Full Text

Liu, J. G., et al. “Asymmetry in crystal facet dynamics of homoepitaxy by a continuum model.” Physica D: Nonlinear Phenomena, vol. 393, June 2019, pp. 54–67. Scopus, doi:10.1016/j.physd.2019.01.004. Full Text Open Access Copy

Wang, Zhe, et al. “Coordinate Descent Full Configuration Interaction.Journal of Chemical Theory and Computation, vol. 15, no. 6, June 2019, pp. 3558–69. Epmc, doi:10.1021/acs.jctc.9b00138. Full Text

Cao, Y., et al. “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, May 2019. Scopus, doi:10.1063/1.5083065. Full Text

Lin, L., et al. “Numerical methods for Kohn-Sham density functional theory.” Acta Numerica, vol. 28, May 2019, pp. 405–539. Scopus, doi:10.1017/S0962492919000047. Full Text

Lu, J., and E. Vanden-Eijnden. “Methodological and Computational Aspects of Parallel Tempering Methods in the Infinite Swapping Limit.” Journal of Statistical Physics, vol. 174, no. 3, Feb. 2019, pp. 715–33. Scopus, doi:10.1007/s10955-018-2210-y. Full Text Open Access Copy

Li, Yingzhou, and Jianfeng Lu. “Bold diagrammatic Monte Carlo in the lens of stochastic iterative methods.” Transactions of Mathematics and Its Applications, vol. 3, no. 1, Oxford University Press (OUP), Feb. 2019. Crossref, doi:10.1093/imatrm/tnz001. Full Text Open Access Copy

Martinsson, A., et al. “The simulated tempering method in the infinite switch limit with adaptive weight learning.” Journal of Statistical Mechanics: Theory and Experiment, vol. 2019, no. 1, Jan. 2019. Scopus, doi:10.1088/1742-5468/aaf323. Full Text

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