research
∙
02/16/2023
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor
In this work, we present a novel physics-based data-driven framework for...
share
research
∙
11/23/2021
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
Estimation of riverbed profiles, also known as bathymetry, plays a vital...
research
∙
11/23/2021
Deep learning-based fast solver of the shallow water equations
Fast and reliable prediction of river flow velocities is important in ma...
research
∙
12/04/2020
Application of deep learning to large scale riverine flow velocity estimation
Fast and reliable prediction of riverine flow velocities is important in...
research
∙
11/19/2020
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
Nearshore bathymetry, the topography of the ocean floor in coastal zones...
research
∙
09/22/2020
