Aashwin Ananda Mishra
Stanford University
H-index: 21
North America-United States
Top articles of Aashwin Ananda Mishra
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys | arXiv preprint arXiv:2403.06329 | Nathan Johnson Aashwin Ananda Mishra Apurva Mehta | 2024/3/10 |
Uncertainty Quantification via Stable Distribution Propagation | arXiv preprint arXiv:2402.08324 | Felix Petersen Aashwin Mishra Hilde Kuehne Christian Borgelt Oliver Deussen | 2024/2/13 |
Deep neural network uncertainty quantification for LArTPC reconstruction | Journal of Instrumentation | D Koh Aashwin Mishra Kazuhiro Terao | 2023/12/21 |
Machine learning based alignment for LCLS-II-HE optics | Aashwin Mishra Nicholas Brennan Tianyu Huang Jason Jaquith Hasan Yavas | 2023/10/5 | |
Probabilistic Mixture Model-Based Spectral Unmixing | arXiv preprint arXiv:2308.13117 | Oliver Hoidn Aashwin Mishra Apurva Mehta | 2023/8/24 |
Low-energy electron-track imaging for a liquid argon time-projection-chamber telescope concept using probabilistic deep learning | The Astrophysical Journal | M Buuck A Mishra E Charles N Di Lalla OA Hitchcock | 2023/1/13 |
Physics constrained unsupervised deep learning for rapid, high resolution scanning coherent diffraction reconstruction | Nature Scientific Reports | Oliver Hoidn Aashwin Mishra Apurva Mehta | 2023/12/21 |
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities | Hongwei Chen Sathya R Chitturi Rajan Plumley Lingjia Shen Nathan C Drucker | 2022/11/13 | |
A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis | Structural Dynamics | Sathya R Chitturi Nicolas G Burdet Youssef Nashed Daniel Ratner Aashwin Mishra | 2022/9/1 |
Combustion machine learning: Principles, progress and prospects | Matthias Ihme Wai Tong Chung Aashwin Ananda Mishra | 2022/7/1 | |
Interpretable data-driven methods for subgrid-scale closure in LES for transcritical LOX/GCH4 combustion | Combustion and Flame | Wai Tong Chung Aashwin Ananda Mishra Matthias Ihme | 2022/5/1 |
Gamma Ray Source Localization for Time Projection Chamber Telescopes Using Convolutional Neural Networks | AI | Brandon Khek Aashwin Mishra Micah Buuck Tom Shutt | 2022/11/30 |
Data-assisted combustion simulations with dynamic submodel assignment using random forests | Combustion and Flame | Wai Tong Chung Aashwin Ananda Mishra Nikolaos Perakis Matthias Ihme | 2021/1 |
Measurement-Based Surrogate Model of the SLAC LCLS-II Injector | Lipi Gupta YK Kim A Edelen N Neveu Aashwin Mishra | 2021/8/1 | |
Uncertainty quantification for deep learning in particle accelerator applications | Physical Review Accelerators and Beams | Aashwin Ananda Mishra Auralee Edelen Adi Hanuka Christopher Mayes | 2021/11/29 |
Exploring Machine Learning Strategies for RANS Uncertainty Quantification | APS Division of Fluid Dynamics Meeting Abstracts | Nikita Kozak Jan Heyse Aaswhin Ananda Mishra Gianluca Iaccarino | 2021 |
Improving surrogate model accuracy for the LCLS-II injector frontend using convolutional neural networks and transfer learning | Machine Learning: Science and Technology | Lipi Gupta Auralee Edelen Nicole Neveu Aashwin Mishra Christopher Mayes | 2021/10/1 |
Data-driven Eigenspace Perturbations for RANS Uncertainty Quantification | APS Division of Fluid Dynamics Meeting Abstracts | Jan Heyse Nikita Kozak Aashwin Mishra Gianluca Iaccarino | 2021 |
Estimating RANS model uncertainty using machine learning | Journal of the Global Power and Propulsion Society | Jan Felix Heyse Aashwin A Mishra Gianluca Iaccarino | 2021/5/21 |
Subgrid-scale Models with Interpretable Machine Learning in LES of Transcritical Reacting Flows | APS Division of Fluid Dynamics Meeting Abstracts | Wai Tong Chung Aashwin Mishra Matthias Ihme | 2021 |
Co-Authors
