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Ketan Mittal
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Direct numerical simulation of the turbulent flow generated during a violent expiratory event
A Fabregat, F Gisbert, A Vernet, S Dutta, K Mittal, J Pallarès
Physics of Fluids 33 (3), 2021
562021
The target-matrix optimization paradigm for high-order meshes
V Dobrev, P Knupp, T Kolev, K Mittal, V Tomov
SIAM Journal on Scientific Computing 41 (1), B50-B68, 2019
532019
Nonconforming Schwarz-spectral element methods for incompressible flow
K Mittal, S Dutta, P Fischer
Computers & Fluids 191, 104237, 2019
372019
Reinforcement learning for adaptive mesh refinement
J Yang, T Dzanic, B Petersen, J Kudo, K Mittal, V Tomov, JS Camier, ...
International Conference on Artificial Intelligence and Statistics, 5997-6014, 2023
292023
Direct numerical simulation of turbulent dispersion of evaporative aerosol clouds produced by an intense expiratory event
A Fabregat, F Gisbert, A Vernet, JA Ferré, K Mittal, S Dutta, J Pallarès
Physics of Fluids 33 (3), 2021
292021
Simulation-driven optimization of high-order meshes in ALE hydrodynamics
V Dobrev, P Knupp, T Kolev, K Mittal, R Rieben, V Tomov
Computers & Fluids 208, 104602, 2020
282020
Mesh smoothing for the spectral element method
K Mittal, P Fischer
Journal of Scientific Computing 78, 1152-1173, 2019
282019
Multirate timestepping for the incompressible Navier-Stokes equations in overlapping grids
K Mittal, S Dutta, P Fischer
Journal of Computational Physics 437, 110335, 2021
192021
hr-Adaptivity for nonconforming high-order meshes with the target matrix optimization paradigm
V Dobrev, P Knupp, T Kolev, K Mittal, V Tomov
Engineering with Computers 38 (4), 3721-3737, 2022
162022
ARG-US remote area modular monitoring for dry casks and critical facilities
H Tsai, B Craig, H Lee, K Mittal, Y Liu, J Shuler
INMM 55th Annual Meeting, 2014
102014
Temperatures of Interest for the TN-32 Cask during Storage of High Burnup Fuel
K Mittal, Z Han, J Li, H Tsai, Y Liu
55th Annual Institute of Nuclear Materials Management conference, 2014
92014
Multi-agent reinforcement learning for adaptive mesh refinement
J Yang, K Mittal, T Dzanic, S Petrides, B Keith, B Petersen, D Faissol, ...
arXiv preprint arXiv:2211.00801, 2022
62022
Adaptive surface fitting and tangential relaxation for high-order mesh optimization
P Knupp, T Kolev, K Mittal, VZ Tomov
arXiv preprint arXiv:2105.12165, 2021
62021
High-order mesh morphing for boundary and interface fitting to implicit geometries
JL Barrera, T Kolev, K Mittal, V Tomov
Computer-Aided Design 158, 103499, 2023
5*2023
Direct numerical simulation of rotating ellipsoidal particles using moving nonconforming Schwarz-spectral element method
K Mittal, S Dutta, P Fischer
Computers & Fluids 205, 104556, 2020
52020
ARG-US CommBox: A Standalone Item-Based Tracking and Monitoring System
B Craig, H Lee, K Byrne, K Mittal, J Scherer, H Tsai, YY Liu, J Shuler
Proc. INMM 55th Annual Meeting, Atlanta, Georgia, 2014
52014
Accelerating high-order mesh optimization using finite element partial assembly on GPUs
JS Camier, V Dobrev, P Knupp, T Kolev, K Mittal, R Rieben, V Tomov
Journal of Computational Physics 474, 111808, 2023
42023
Impact of gaps on the flow statistics in an emergent rigid canopy
P Ranjan, K Mittal, LP Chamorro, RO Tinoco
Physics of Fluids 34 (6), 2022
42022
Yet another parameter-free shape optimization method
KE Swartz, K Mittal, M Schmidt, JL Barrera, S Watts, DA Tortorelli
Structural and Multidisciplinary Optimization 66 (12), 245, 2023
32023
Highly scalable solution of incompressible Navier-Stokes equations using the spectral element method with overlapping grids
K Mittal
University of Illinois at Urbana-Champaign, 2019
32019
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Articles 1–20