Jianfeng Lu, Associate Professor of Mathematics and Chemistry and Physics  

Jianfeng Lu

Office Location: 242 Physics Bldg, 120 Science Drive, Durham, NC 27708
Office Phone: (919) 660-2875
Email Address: jianfeng@math.duke.edu
Web Page: http://www.math.duke.edu/~jianfeng/

Specialties:
Applied Math

Education:
Ph.D., Princeton University, 2009
BS, Peking University, 2005

Research Description: Mathematical analysis and algorithm development for problems from
computational physics, theoretical chemistry, materials science and others.

More specifically:
Electronic structure and many body problems;
Multiscale modeling and analysis; and
Rare events and sampling techniques.

Areas of Interest:
Applied Mathematics
Partial Differential Equations
Probability
Numerical Analysis
Scientific Computing

Teaching (Spring 2020):

  • Math 690-70.01, Topics in applied math Synopsis
    Physics 119, WF 10:05 AM-11:20 AM

Recent Publications   (More Publications)

  1. Lu, J; Sachs, M; Steinerberger, S, Quadrature Points via Heat Kernel Repulsion, Constructive Approximation, vol. 51 no. 1 (February, 2020), pp. 27-48 [doi]  [abs].
  2. Chen, H; Li, Q; Lu, J, A numerical method for coupling the BGK model and Euler equations through the linearized Knudsen layer, Journal of Computational Physics, vol. 398 (December, 2019) [doi]  [abs].
  3. Lu, J; Sogge, CD; Steinerberger, S, Approximating pointwise products of Laplacian eigenfunctions, Journal of Functional Analysis, vol. 277 no. 9 (November, 2019), pp. 3271-3282 [doi]  [abs].
  4. Cao, Y; Lu, J; Lu, Y, Exponential Decay of Rényi Divergence Under Fokker–Planck Equations, Journal of Statistical Physics, vol. 176 no. 5 (September, 2019), pp. 1172-1184 [doi]  [abs].
  5. Wang, Z; Li, Y; Lu, J, Coordinate Descent Full Configuration Interaction., Journal of Chemical Theory and Computation, vol. 15 no. 6 (June, 2019), pp. 3558-3569 [doi]  [abs].

Curriculum Vitae

Highlight:
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.

Current Ph.D. Students  

  • Kyle Thicke  
  • Chao Xu  
Postdocs Mentored

  • Haizhao Yang (July, 2015 - present)  
  • Zhennan Zhou (August, 2014 - present)