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21 papers · 1 filter
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensors
Harsha Vaddireddy, Adil Rasheed, Anne E Staples +1
In this study we put forth a modular approach for distilling hidden flow physics in discrete and sparse observations. To address functional expressiblity, a key limitation of the b…
Measurement of the azimuthal anisotropy of charged-particle production in Xe+Xe collisions at TeV with the ATLAS detector
ATLAS Collaboration
This paper describes the measurements of flow harmonics - in 3 of Xe+Xe collisions at TeV performed using the ATLAS detec…
Effect of strain on magnetic and orbital ordering of LaSrCrO/LaSrMnO heterostructures
Sanaz Koohfar, Alexandru B. Georgescu, Ingrid Hallsteinsen +4
We investigate the effect of strain and film thickness on the orbital and magnetic properties of LaSrCrO (LSCO)/LaSrMnO (LSMO) heterostructures using bulk magnetometry, sof…
boson production in Pb+Pb collisions at = 5.02 TeV measured by the ATLAS experiment
ATLAS Collaboration
The production yield of bosons is measured in the electron and muon decay channels in Pb+Pb collisions at = 5.02 TeV with the ATLAS detector. Data from…
Memory embedded non-intrusive reduced order modeling of non-ergodic flows
Shady E. Ahmed, Sk. Mashfiqur Rahman, Omer San +2
Generating a digital twin of any complex system requires modeling and computational approaches that are efficient, accurate, and modular. Traditional reduced order modeling techniq…
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
Suraj Pawar, Omer San, Adil Rasheed +1
In the present study, we investigate different data-driven parameterizations for large eddy simulation of two-dimensional turbulence in the \emph{a priori} settings. These models u…