activity
20162024
most citedManufactured Turbulence with Langevin equations

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2024

Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys

Nathan Johnson, Aashwin Ananda Mishra, Apurva Mehta

The next generation of advanced materials is tending toward increasingly complex compositions. Synthesizing precise composition is time-consuming and becomes exponentially demandin…

cs.LG2024

Uncertainty Quantification via Stable Distribution Propagation

Felix Petersen, Aashwin Mishra, Hilde Kuehne +3

We propose a new approach for propagating stable probability distributions through neural networks. Our method is based on local linearization, which we show to be an optimal appro…

physics.acc-ph2023

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…

physics.data-an2023

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.flu-dyn20167 cited

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…