research
∙
08/05/2022
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion
Data-driven discovery of PDEs has made tremendous progress recently, and...
share
research
∙
09/25/2021
Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network
Particle settling in inclined channels is an important phenomenon that o...
research
∙
05/31/2021
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data
Although deep-learning has been successfully applied in a variety of sci...
research
∙
12/11/2020
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Machine learning models have been successfully used in many scientific a...
research
∙
05/16/2020