44 citations · 110 across the 13 of their papers we have counts for
15 papers
SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks
Riddhiman Raut, Yin Yu, Aashwin Anand Mishra +4
Pickup trucks account for 14% of new light-duty vehicles produced in the United States, yet are among the least aerodynamic. Their open cargo bed adds a flow absent from existing a…
D-JEPA: Design-Recoverable JEPA Representation with Swappable Physics Decoders
Nitin Nagesh Kulkarni, Aashwin Anand Mishra, Yin Yu +1
Joint-Embedding Predictive Architectures (JEPAs) provide a framework for learning compact representations without directly reconstructing high-dimensional observations. However, in…
Machine Learning Based Alignment For LCLS-II-HE Optics
Aashwin Mishra, Nicholas Brennan, Tianyu Huang +3
The hard X-ray instruments at the Linac Coherent Light Source are in the design phase for upgrades that will take full advantage of the high repetition rates that will become avail…
Probabilistic Mixture Model-Based Spectral Unmixing
Oliver Hoidn, Aashwin Mishra, Apurva Mehta
Identifying pure components in mixtures is a common yet challenging problem. The associated unmixing process requires the pure components, also known as endmembers, to be sufficien…
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction
Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta
By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) and ptychography are making their way into scientific fields ranging from X-ray imaging to…
Deep Neural Network Uncertainty Quantification for LArTPC Reconstruction
Dae Heun Koh, Aashwin Mishra, Kazuhiro Terao
We evaluate uncertainty quantification (UQ) methods for deep learning applied to liquid argon time projection chamber (LArTPC) physics analysis tasks. As deep learning applications…
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities
Hongwei Chen, Sathya R. Chitturi, Rajan Plumley +22
The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development…
A machine learning photon detection algorithm for coherent X-ray ultrafast fluctuation analysis
Sathya R. Chitturi, Nicolas G. Burdet, Youssef Nashed +8
X-ray free electron laser (XFEL) experiments have brought unique capabilities and opened new directions in research, such as creating new states of matter or directly measuring ato…
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…
RANS predictions for high-speed flows using enveloping models
A. A. Mishra, G. Iaccarino
In this investigation, we outline an enveloping models methodology for estimating structural uncertainty bounds on RANS closures. This methodology incorporates both eigenvalue and…
Manufactured Turbulence with Langevin equations
Aashwin Mishra, Sharath Girimaji
By definition, Manufactured turbulence(MT) is purported to mimic physical turbulence rather than model it. The MT equations are constrained to be simple to solve and provide an ine…