Jianfeng 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:
  • Personal website

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

• Pratt Researchers to Harness Computational Power to Solve Time-Intensive Calculations (Jul 10, 2015)
• Sloan Foundation Names Charbonneau, Lu as 2013 Research Fellows (Feb 15, 2013)

Representative Publications

• Cheng, C; Daubechies, I; Dym, N; Lu, J, Stable phase retrieval from locally stable and conditionally connected measurements, Applied and Computational Harmonic Analysis, vol 55 (2021), pp. 440-465 [10.1016/j.acha.2021.07.001] [abs].
• Li, L; Goodrich, C; Yang, H; Phillips, KR; Jia, Z; Chen, H; Wang, L; Zhong, J; Liu, A; Lu, J; Shuai, J; Brenner, MP; Spaepen, F; Aizenberg, J, Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals, Proceedings of the National Academy of Sciences of the United States of America, vol 118 no. 32 (2021) [10.1073/pnas.2107588118] [abs].
• 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].
• Li, L; Goodrich, C; Yang, H; Phillips, KR; Jia, Z; Chen, H; Wang, L; Zhong, J; Liu, A; Lu, J; Shuai, J; Brenner, MP; Spaepen, F; Aizenberg, J, Microscopic origins of the crystallographically preferred growth in evaporation-induced colloidal crystals., Proceedings of the National Academy of Sciences of the United States of America, vol 118 no. 32 (2021) [10.1073/pnas.2107588118] [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].