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Mishra, Aashwin Ananda
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1

Probabilistic Mixture Model-Based Spectral Unmixing:

Hoidn, Oliver ; Mishra, Aashwin Ananda ; Mehta, Apurva
Applied Sciences.  14 (2024)  11 - p. 4836 , 2024
Link: https://doi.org/10.3390/..
 
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2

Physics constrained unsupervised deep learning for rapid, h..:

Hoidn, Oliver ; Mishra, Aashwin Ananda ; Mehta, Apurva
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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3

Interpretable data-driven methods for subgrid-scale closure..:

Chung, Wai Tong ; Mishra, Aashwin Ananda ; Ihme, Matthias
Combustion and Flame.  239 (2022)  - p. 111758 , 2022
Link: https://doi.org/10.1016/..
 
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4

Combustion machine learning: Principles, progress and prosp..:

Ihme, Matthias ; Chung, Wai Tong ; Mishra, Aashwin Ananda
Progress in Energy and Combustion Science.  91 (2022)  - p. 101010 , 2022
Link: https://doi.org/10.1016/..
 
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5

Data-assisted combustion simulations with dynamic submodel ..:

Chung, Wai Tong ; Mishra, Aashwin Ananda ; Perakis, Nikolaos.
Combustion and Flame.  227 (2021)  - p. 172-185 , 2021
Link: https://doi.org/10.1016/..
 
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6

Uncertainty quantification for deep learning in particle ac..:

Mishra, Aashwin Ananda ; Edelen, Auralee ; Hanuka, Adi.
Physical Review Accelerators and Beams.  24 (2021)  11 - p. , 2021
Link: https://doi.org/10.1103/..
 
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7

Uncertainty Estimation Module for Turbulence Model Predicti..:

Mishra, Aashwin Ananda ; Mukhopadhaya, Jayant ; Iaccarino, Gianluca.
AIAA Journal.  57 (2019)  3 - p. 1066-1077 , 2019
Link: https://doi.org/10.2514/..
 
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8

Eigenvector perturbation methodology for uncertainty quanti..:

Thompson, Roney L. ; Mishra, Aashwin Ananda ; Iaccarino, Gianluca..
Physical Review Fluids.  4 (2019)  4 - p. , 2019
Link: https://doi.org/10.1103/..
 
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9

Uncertainty Estimation for Reynolds-Averaged Navier–Stokes ..:

Mishra, Aashwin Ananda ; Iaccarino, Gianluca
AIAA Journal.  55 (2017)  11 - p. 3999-4004 , 2017
Link: https://doi.org/10.2514/..
 
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10

Eigenspace perturbations for uncertainty estimation of sing..:

Iaccarino, Gianluca ; Mishra, Aashwin Ananda ; Ghili, Saman
Physical Review Fluids.  2 (2017)  2 - p. , 2017
Link: https://doi.org/10.1103/..
 
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11

Physics constrained unsupervised deep learning for rapid, h..:

Hoidn, Oliver ; Mishra, Aashwin Ananda ; Mehta, Apurva
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10733394/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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12

Physics Constrained Unsupervised Deep Learning for Rapid, H..:

Hoidn, Oliver ; Mishra, Aashwin Ananda ; Mehta, Apurva
http://arxiv.org/abs/2306.11014.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Interpretable Data-driven Methods for Subgrid-scale Closure..:

Chung, Wai Tong ; Mishra, Aashwin Ananda ; Ihme, Matthias
http://arxiv.org/abs/2103.06397.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Data-assisted combustion simulations with dynamic submodel ..:

Chung, Wai Tong ; Mishra, Aashwin Ananda ; Perakis, Nikolaos.
http://arxiv.org/abs/2009.04023.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

An uncertainty estimation module for turbulence model predi..:

Mishra, Aashwin Ananda ; Mukhopadhaya, Jayant ; Iaccarino, Gianluca.
http://arxiv.org/abs/1803.00725.  , 2018
Link: http://arxiv.org/abs/180..
 
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