8 citations · 11 across the 2 of their papers we have counts for
5 papers
Convective, absolute and global azimuthal magnetorotational instabilities
A. Mishra, G. Mamatsashvili, V. Galindo +1
We study the convective and absolute forms of azimuthal magnetorotational instability (AMRI) in a Taylor-Couette (TC) flow with an imposed azimuthal magnetic field. We show that th…
Improving Surrogate Model Accuracy for the LCLS-II Injector Frontend Using Convolutional Neural Networks and Transfer Learning
Lipi Gupta, Auralee Edelen, Nicole Neveu +3
Machine learning models of accelerator systems (`surrogate models') are able to provide fast, accurate predictions of accelerator physics phenomena. However, approaches to date typ…
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion
Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
Many practical combustion systems such as those in rockets, gas turbines, and internal combustion engines operate under high pressures that surpass the thermodynamic critical limit…
Data-assisted combustion simulations with dynamic submodel assignment using random forests
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis +1
In this investigation, we outline a data-assisted approach that employs random forest classifiers for local and dynamic combustion submodel assignment in turbulent-combustion simul…
An uncertainty estimation module for turbulence model predictions in SU2
Aashwin Ananda Mishra, Jayant Mukhopadhaya, Gianluca Iaccarino +1
With the advent of improved computational resources, aerospace design has testing-based process to a simulation-driven procedure, wherein uncertainties in design and operating cond…