Arvind T. Mohan

Cited by

	All	Since 2019
Citations	1091	1055
h-index	15	14
i10-index	16	16

280

140

210

2017201820192020202120222023202410 20 58 160 240 227 274 96

Public access

View all

19 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Daniel LivescuScientist, Los Alamos National LaboratoryVerified email at lanl.gov
Michael (Misha) ChertkovChair, Program in Applied Mathematics, University of ArizonaVerified email at math.arizona.edu
Amy LovellLos Alamos National LaboratoryVerified email at lanl.gov
Trevor SprouseTheoretical Division, Los Alamos National LaboratoryVerified email at lanl.gov
Matthew MumpowerStaff Scientist, Los Alamos National LaboratoryVerified email at mumpower.net
Miguel VisbalAir Force Research LaboratoryVerified email at us.af.mil
Nicholas LubbersStaff Scientist, Computer, Computational, and Statistical Sciences Division, LANLVerified email at bu.edu
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Bethany LuschArgonne National LabVerified email at anl.gov
Prasanna BalaprakashDirector of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Romit MaulikAssistant Professor and ICDS Co-Hire: Pennsylvania State UniversityVerified email at psu.edu
Patrick TalouLos Alamos National LaboratoryVerified email at lanl.gov
Dima TretiakGeorgia Institute of TechnologyVerified email at lanl.gov
Ryan N. KingNational Renewable Energy LaboratoryVerified email at nrel.gov
Varun ShankarCarnegie Mellon UniversityVerified email at cmu.edu
Gavin D PortwoodLawrence Livermore National LaboratoryVerified email at llnl.gov
David SchmidtUniversity of MassachusettsVerified email at acad.umass.edu
Peetak P. MitraFounding Team/Scientist, ExcartaVerified email at excarta.io
Lionel AgostiniCNRS - Pprime instituteVerified email at univ-poitiers.fr
Venkatasubramanian ViswanathanAssociate Professor, University of MichiganVerified email at umich.edu

Arvind T. Mohan

Scientist, Computational Physics and Methods Group, Los Alamos National Laboratory

Verified email at lanl.gov

Reduced Order Modeling Machine Learning Aerodynamics Computational Physics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A deep learning based approach to reduced order modeling for turbulent flow control using LSTM neural networks AT Mohan, DV Gaitonde arXiv preprint arXiv:1804.09269, 2018	284	2018
Compressed convolutional LSTM: An efficient deep learning framework to model high fidelity 3D turbulence A Mohan, D Daniel, M Chertkov, D Livescu arXiv preprint arXiv:1903.00033, 2019	126	2019
Time-series learning of latent-space dynamics for reduced-order model closure R Maulik, A Mohan, B Lusch, S Madireddy, P Balaprakash, D Livescu Physica D: Nonlinear Phenomena 405, 132368, 2020	122	2020
Embedding hard physical constraints in neural network coarse-graining of three-dimensional turbulence AT Mohan, N Lubbers, M Chertkov, D Livescu Physical Review Fluids 8 (1), 014604, 2023	121*	2023
From deep to physics-informed learning of turbulence: Diagnostics R King, O Hennigh, A Mohan, M Chertkov arXiv preprint arXiv:1810.07785, 2018	58	2018
Model reduction and analysis of deep dynamic stall on a plunging airfoil AT Mohan, DV Gaitonde, MR Visbal Computers & Fluids 129 (28 April 2016), 1–19, 2016	55	2016
Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics AT Mohan, D Tretiak, M Chertkov, D Livescu Journal of Turbulence 21 (9-10), 484-524, 2020	54	2020
Analysis of airfoil stall control using dynamic mode decomposition AT Mohan, DV Gaitonde Journal of Aircraft 54 (4), 1508-1520, 2017	38	2017
Nuclear masses learned from a probabilistic neural network AE Lovell, AT Mohan, TM Sprouse, MR Mumpower Physical Review C 106 (1), 014305, 2022	30	2022
Quantifying uncertainties on fission fragment mass yields with mixture density networks AE Lovell, AT Mohan, P Talou Journal of Physics G: Nuclear and Particle Physics 47 (11), 114001, 2020	29	2020
Foresight: analysis that matters for data reduction P Grosset, CM Biwer, J Pulido, AT Mohan, A Biswas, J Patchett, TL Turton, ... SC20: International Conference for High Performance Computing, Networking …, 2020	27	2020
Physically interpretable machine learning for nuclear masses MR Mumpower, TM Sprouse, AE Lovell, AT Mohan Physical Review C 106 (2), L021301, 2022	25	2022
Embedding hard physical constraints in convolutional neural networks for 3D turbulence AT Mohan, N Lubbers, D Livescu, M Chertkov ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020	25	2020
Model reduction and analysis of deep dynamic stall on a plunging airfoil using dynamic mode decomposition AT Mohan, MR Visbal, DV Gaitonde 53rd AIAA Aerospace Sciences Meeting, 1058, 2015	22	2015
Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow V Shankar, GD Portwood, AT Mohan, PP Mitra, D Krishnamurthy, ... Physics of Fluids 34 (11), 2022	17*	2022
Constraining fission yields using machine learning A Lovell, A Mohan, P Talou, M Chertkov EPJ Web of Conferences 211, 04006, 2019	10	2019
Learning stable Galerkin models of turbulence with differentiable programming AT Mohan, K Nagarajan, D Livescu arXiv preprint arXiv:2107.07559, 2021	5	2021
Wavelet-powered neural networks for turbulence AT Mohan, D Livescu, M Chertkov ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020	5	2020
Development of the Senseiver for efficient field reconstruction from sparse observations JE Santos, ZR Fox, A Mohan, D O’Malley, H Viswanathan, N Lubbers Nature Machine Intelligence 5 (11), 1317-1325, 2023	3	2023
Bayesian averaging for ground state masses of atomic nuclei in a machine learning approach M Mumpower, M Li, TM Sprouse, BS Meyer, AE Lovell, AT Mohan Frontiers in Physics 11, 1198572, 2023	3	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors