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Sanjay Choudhry
Observed name:
Choudhry, Sanjay
Institution:
Nvidia (United States)
Observed institutions:
Nvidia (United Kingdom),
Nvidia (United States)
OpenAlex ID:
A5040769293
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
2021
·
Oliver Hennigh
, Susheela Narasimhan
, et al.
·
Lecture notes in computer science
·
207
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
2020
·
Hennigh, Oliver
, Narasimhan, Susheela
, et al.
·
arXiv (Cornell University)
·
68
PDF
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials
2022
·
B. V. S. S. Bharadwaja
, Mohammad Amin Nabian
, et al.
·
Integrating materials and manufacturing innovation
·
36
PDF
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
2025
·
Ranade, Rishikesh
, Nabian, Mohammad Amin
, et al.
·
arXiv (Cornell University)
·
33
PDF
High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention
2026
·
Akhare, Deepak
, Nabian, Mohammad Amin
, et al.
·
arXiv (Cornell University)
·
6
PDF
A Benchmarking Framework for AI models in Automotive Aerodynamics
2025
·
Tangsali, Kaustubh
, Ranade, Rishikesh
, et al.
·
arXiv (Cornell University)
·
6
PDF
Accelerating Transient CFD through Machine Learning-Based Flow Initialization
2025
·
Sharpe, Peter
, Ranade, Rishikesh
, et al.
·
arXiv (Cornell University)
·
5
PDF
ShardTensor: Domain Parallelism for Scientific Machine Learning
2026
·
Adams, Corey
, Harrington, Peter
, et al.
·
arXiv (Cornell University)
·
3
PDF
SimNet: A neural network solver for multi-Physics applications
2020
·
Oliver Hennigh
, Kaustubh Tangsali
, et al.
·
Bulletin of the American Physical Society
·
1
Predictive Uncertainty for Neural CAE Surrogates
2026
·
Tangsali, Kaustubh
, Nabian, Mohammad Amin
, et al.
·
arXiv (Cornell University)
PDF
SimNet: A Neural Framework for Physics Simulations
2021
·
Oliver Hennigh
, Mohammad Amin Nabian
, et al.
·
Bulletin of the American Physical Society
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Works count:
11
Citation count:
365
H-index:
6
I10-index:
4
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