Παρακολούθηση
Aakash Patil
Aakash Patil
Stanford University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stanford.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Hall-effect thrusters for deep-space missions: A review
A Bapat, PB Salunkhe, AV Patil
IEEE Transactions on Plasma Science 50 (2), 189-202, 2022
292022
Deep learning model to assist multiphysics conjugate problems
G El Haber, J Viquerat, A Larcher, D Ryckelynck, J Alves, A Patil, ...
Physics of Fluids 34 (1), 2022
172022
Robust deep learning for emulating turbulent viscosities
A Patil, J Viquerat, A Larcher, G El Haber, E Hachem
Physics of Fluids 33 (10), 2021
16*2021
An open source package to perform basic and advanced statistical analysis of turbulence data and other complex systems
A Fuchs, S Kharche, A Patil, J Friedrich, M Wächter, J Peinke
Physics of Fluids 34 (10), 2022
142022
Autoregressive transformers for data-driven spatiotemporal learning of turbulent flows
A Patil, J Viquerat, E Hachem
APL Machine Learning 1 (4), 2023
62023
Development of deep learning methods for inflow turbulence generation
AV Patil
arXiv preprint arXiv:1910.06810, 2019
42019
Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling
T Jaroslawski, A Patil, B McKeon
arXiv preprint arXiv:2501.13415, 2025
2025
Input-Output Neural Operator model for Jet in Crossflow
F Rios Tascon, A Patil, P Schmid, B McKeon
Bulletin of the American Physical Society, 2024
2024
Deep Generative Modeling for Predicting Turbulence Structure in Urban Flows
A Patil, T Jaroslawski, B McKeon
Bulletin of the American Physical Society, 2024
2024
Input-Output turbulent flow models using Fourier Neural Operators
F Rios Tascon, A Patil, P Schmid, B McKeon
Bulletin of the American Physical Society, 2023
2023
Towards Generalized and Robust Deep Learning For Turbulent Flows
A Patil
Mechanistic Machine Learning and Digital Twins for Computational Science 210 …, 2021
2021
Experimental Investigation of Plume Parameters of a Modified Hall-Effect Thruster for Space Propulsion
A Patil
The University of Pune, India, 2017
2017
Seismometer Isolation for Noise Cancellation at LIGO 40m Interferometer
A Patil, R Adhikari, K Arai
2016
2 Problem setup & data generation 2.1 Governing equations
A Patil, J Viquerat, A Larcher, G El Haber
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