Guang Lin, Ph.D.
Affiliations: | 2007 | Brown University, Providence, RI |
Area:
Mathematics, Aerospace Engineering, Applied MechanicsGoogle:
"Guang Lin"Parents
Sign in to add mentor| George Em Karniadakis | grad student | 2007 | Brown | |
| (Parallel high-order methods for deterministic and stochastic CFD and MHD problems.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Kharazmi E, Cai M, Zheng X, et al. (2021) Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature Computational Science. 1: 744-753 |
| Zhang S, Ponce J, Zhang Z, et al. (2021) An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. Plos Computational Biology. 17: e1009334 |
| Karagiannis G, Hao W, Lin G. (2020) Calibrations and validations of biological models with an application on the renal fibrosis. International Journal For Numerical Methods in Biomedical Engineering. e3329 |
| Zhang J, Vrugt JA, Shi X, et al. (2020) Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution Water Resources Research. 56 |
| Chen T, Ren Z, Lin G, et al. (2020) Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification Journal of the Franklin Institute-Engineering and Applied Mathematics. 357: 2830-2850 |
| Huang Z, Lin G, Ardekani AM. (2020) Consistent and conservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model Journal of Computational Physics. 420: 109718 |
| Huang Z, Lin G, Ardekani AM. (2020) Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows Journal of Computational Physics. 406: 109192 |
| Wang Y, Lin G. (2020) Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media Journal of Computational Physics. 401: 108968 |
| Huang Y, Xu Q, Ding Y, et al. (2020) Efficient uncertainty quantification in economic re-dispatch under high wind penetration considering interruptible load International Journal of Electrical Power & Energy Systems. 121: 106104 |
| Gu Y, Yang X, Peng M, et al. (2020) Robust weighted SVD-type latent factor models for rating prediction Expert Systems With Applications. 141: 112885 |