Projects per year
Fingerprint
Dive into the research topics where Li Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
CAREER: Computational methods for multiscale kinetic systems: uncertainty, non-locality and variational formulation
THE NATIONAL SCIENCE FOUNDATION
7/1/19 → 6/30/24
Project: Research project
-
CAREER: Computational Methods for Multiscale Kinetic Systems: Uncertainty, Non-Locality, and Variational Formulation
7/1/19 → 6/30/24
Project: Research project
-
Multiscale computational methods in kinetic theory and optimal transport
THE NATIONAL SCIENCE FOUNDATION
10/12/18 → 6/30/20
Project: Research project
-
Multiscale computational methods in kinetic theory and optimal transport
10/12/18 → 6/30/20
Project: Research project
-
Multiscale computational methods in kinetic theory and optimal transport
7/1/16 → 11/30/18
Project: Research project
-
Suppressing instability in a Vlasov–Poisson system by an external electric field through constrained optimization
Einkemmer, L., Li, Q., Wang, L. & Yunan, Y., Feb 1 2024, In: Journal of Computational Physics. 498, 112662.Research output: Contribution to journal › Article › peer-review
Open Access -
AN ASYMPTOTIC PRESERVING SCHEME FOR LÉVY-FOKKER-PLANCK EQUATION WITH FRACTIONAL DIFFUSION LIMIT*
Xu, W. & Wang, L., 2023, In: Communications in Mathematical Sciences. 21, 1, p. 1-23 23 p.Research output: Contribution to journal › Article › peer-review
-
MONTE CARLO GRADIENT IN OPTIMIZATION CONSTRAINED BY RADIATIVE TRANSPORT EQUATION
Li, Q., Wang, L. & Yang, Y., 2023, In: SIAM Journal on Numerical Analysis. 61, 6, p. 2744-2774 31 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
Xu, W., Lu, Y. & Wang, L., Jun 27 2023, AAAI-23 Technical Tracks 9. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 10629-10636 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
A proximal-gradient algorithm for crystal surface evolution
Craig, K., Liu, J. G., Lu, J., Marzuola, J. L. & Wang, L., Nov 2022, In: Numerische Mathematik. 152, 3, p. 631-662 32 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations