9 citations · 11 across the 5 of their papers we have counts for
6 papers
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor
Yizhou Qian, Jonathan Wang, Quentin Douasbin +1
In this work, we present a novel physics-based data-driven framework for reduced-order modeling of laser ignition in a model rocket combustor based on parameterized neural ordinary…
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4
Estimation of riverbed profiles, also known as bathymetry, plays a vital role in many applications, such as safe and efficient inland navigation, prediction of bank erosion, land s…
Deep learning-based fast solver of the shallow water equations
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4
Fast and reliable prediction of river flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used for t…
Application of deep learning to large scale riverine flow velocity estimation
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4
Fast and reliable prediction of riverine flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used fo…
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee +4
Nearshore bathymetry, the topography of the ocean floor in coastal zones, is vital for predicting the surf zone hydrodynamics and for route planning to avoid subsurface features. H…
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++
Léopold Cambier, Yizhou Qian, Eric Darve
We present TaskTorrent, a lightweight distributed task-based runtime in C++. TaskTorrent uses a parametrized task graph to express the task DAG, and one-sided active messages to tr…