146 citations · 214 across the 6 of their papers we have counts for
6 papers
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh +1
Numerically solving partial differential equations (PDEs) can be challenging and computationally expensive. This has led to the development of reduced-order models (ROMs) that are…
GPU-Accelerated DNS of Compressible Turbulent Flows
Youngdae Kim, Debojyoti Ghosh, Emil M. Constantinescu +1
This paper explores strategies to transform an existing CPU-based high-performance computational fluid dynamics solver, HyPar, for compressible flow simulations on emerging exascal…
PETSc/TS: A Modern Scalable ODE/DAE Solver Library
Shrirang Abhyankar, Jed Brown, Emil M. Constantinescu +3
High-quality ordinary differential equation (ODE) solver libraries have a long history, going back to the 1970s. Over the past several years we have implemented, on top of the PETS…
High-order Discretization of a Gyrokinetic Vlasov Model in Edge Plasma Geometry
Milo R. Dorr, Phillip Colella, Mikhail A. Dorf +3
We present a high-order spatial discretization of a continuum gyrokinetic Vlasov model in axisymmetric tokamak edge plasma geometries. Such models describe the phase space advectio…
Kinetic Simulation of Collisional Magnetized Plasmas with Semi-Implicit Time Integration
Debojyoti Ghosh, Mikhail A. Dorf, Milo R. Dorr +1
Plasmas with varying collisionalities occur in many applications, such as tokamak edge regions, where the flows are characterized by significant variations in density and temperatu…
Semi-Implicit Time Integration of Atmospheric Flows with Characteristic-Based Flux Partitioning
Debojyoti Ghosh, Emil M. Constantinescu
This paper presents a characteristic-based flux partitioning for the semi-implicit time integration of atmospheric flows. Nonhydrostatic models require the solution of the compress…