Jianfeng Lu, Associate Professor of Mathematics and Chemistry and Physics
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.  Contact Info:
Teaching (Spring 2019):
 MATH 375.01, LINEAR PROGRAMMING
Synopsis
 Gross Hall 304B, TuTh 10:05 AM11:20 AM
 MATH 660.01, NUMERICAL PARTIAL DIFF EQNS
Synopsis
 Gross Hall 304B, TuTh 01:25 PM02:40 PM
 MATH 757.01, LINEAR PROGRAMMING
Synopsis
 Gross Hall 304B, TuTh 10:05 AM11:20 AM
 Office Hours:
 By email appointments
 Education:
Ph.D.  Princeton University  2009 
BS  Peking University  2005 
 Specialties:

Applied Math
 Research Interests:
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
 Curriculum Vitae
 Current Ph.D. Students
 Postdocs Mentored
 Haizhao Yang (July, 2015  present)
 Zhennan Zhou (August, 2014  present)
 Undergraduate Research Supervised
 Jeremy Tay (September, 2015  December, 2015)
 Fuchsia Chen (January, 2015  September, 2015)
 Leslie Lei (May, 2013  May, 2014)
 Recent Publications
(More Publications)
 Martinsson, A; Lu, J; Leimkuhler, B; VandenEijnden, E, The simulated tempering method in the infinite switch limit with adaptive weight learning,
Journal of Statistical Mechanics: Theory and Experiment, vol. 2019 no. 1
(January, 2019),
pp. 013207013207, IOP Publishing [doi]
 Lu, J; VandenEijnden, E, Methodological and Computational Aspects of Parallel Tempering Methods in the Infinite Swapping Limit,
Journal of Statistical Physics
(January, 2019) [doi] [abs]
 Huang, H; Liu, JG; Lu, J, Learning interacting particle systems: Diffusion parameter estimation for aggregation equations,
Mathematical Models and Methods in Applied Sciences, vol. 29 no. 1
(January, 2019),
pp. 129 [doi] [abs]
 Delgadillo, R; Lu, J; Yang, X, Frozen Gaussian approximation for high frequency wave propagation in periodic media,
Asymptotic Analysis, vol. 110 no. 34
(November, 2018),
pp. 113135, IOS Press [doi] [abs]
 Cao, Y; Lu, J, Stochastic dynamical lowrank approximation method,
Journal of Computational Physics, vol. 372
(November, 2018),
pp. 564586, Elsevier BV [doi] [abs]
 Recent Grant Support
 Quantum Computing in Chemical and Material Sciences, Department of Energy, 2018/092021/09.
 CAREER: Research and training in advanced computational methods for quantum and statistical mechanics, National Science Foundation, DMS1454939, 2015/092020/08.
