Akshay Subramaniam

Akshay Subramaniam

Stanford University

H-index: 9

North America-United States

About Akshay Subramaniam

Akshay Subramaniam, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Physics Informed Neural Networks, Compressible Turbulence, Variable Density Turbulence, Richtmyer-Meshkov Instability, Continuum.

His recent articles reflect a diverse array of research interests and contributions to the field:

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Mixed-precision parallel linear solver for high-order compact finite difference schemes

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators

Towards adaptive high-order simulations of multiphase compressible turbulent flows at exa-scale

DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting

Robust high-resolution simulations of compressible turbulent flows without filtering

Compact Finite Difference based Framework for Large Scale Simulations of Compressible Turbulent Flows

Scalable parallel linear solver for compact banded systems on heterogeneous architectures

Akshay Subramaniam Information

University

Position

Graduate Research Assistant

Citations(all)

469

Citations(since 2020)

416

Cited By

103

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Akshay Subramaniam Skills & Research Interests

Physics Informed Neural Networks

Compressible Turbulence

Variable Density Turbulence

Richtmyer-Meshkov Instability

Continuum

Top articles of Akshay Subramaniam

Title

Journal

Author(s)

Publication Date

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Advances in Neural Information Processing Systems

Sungduk Yu

Walter Hannah

Liran Peng

Jerry Lin

Mohamed Aziz Bhouri

...

2024/2/13

Mixed-precision parallel linear solver for high-order compact finite difference schemes

Bulletin of the American Physical Society

Hang Song

Akshay Subramaniam

Britton Olson

Sanjiva Lele

2023/11/19

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators

arXiv preprint arXiv:2306.08754

Sungduk Yu

Walter M Hannah

Liran Peng

Mohamed Aziz Bhouri

Ritwik Gupta

...

2023/6/14

Towards adaptive high-order simulations of multiphase compressible turbulent flows at exa-scale

APS March Meeting Abstracts

Sanjiva Lele

Hang Song

Kristen Matsuno

Aditya Ghate

Akshay Subramaniam

...

2023

DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting

arXiv preprint arXiv:2210.12293

Tao Ge

Jaideep Pathak

Akshay Subramaniam

Karthik Kashinath

2022/10/21

Robust high-resolution simulations of compressible turbulent flows without filtering

Hang Song

Aditya S Ghate

Kristen Matsuno

Jacob West

Akshay Subramaniam

...

2022

Compact Finite Difference based Framework for Large Scale Simulations of Compressible Turbulent Flows

Bulletin of the American Physical Society

Hang Song

Aditya Ghate

Akshay Subramaniam

Kristen Matsuno

Jacob West

...

2022/11/21

Scalable parallel linear solver for compact banded systems on heterogeneous architectures

Journal of Computational Physics

Hang Song

Kristen V Matsuno

Jacob R West

Akshay Subramaniam

Aditya S Ghate

...

2022/11/1

NVIDIA SimNet™: An AI-accelerated multi-physics simulation framework

Oliver Hennigh

Susheela Narasimhan

Mohammad Amin Nabian

Akshay Subramaniam

Kaustubh Tangsali

...

2021/6/9

SimNet: A Neural Framework for Physics Simulations

APS Annual Gaseous Electronics Meeting Abstracts

Oliver Hennigh

Mohammad Nabian

Akshay Subramaniam

Kaustubh Tangsali

Zhiwei Fang

...

2021

ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases

Guang Chao Wang

Kenny Gross

Akshay Subramaniam

2019/12/5

An end-to-end ai-driven simulation framework

Workshop: Machine Learning and the Physical Sciences, the 34th Conference on Neural Information Processing Systems

Oliver Hennigh

Susheela Narasimhan

Mohammad Amin Nabian

Akshay Subramaniam

Kaustubh Tangsali

...

2020

SimNet: A neural network solver for multi-Physics applications

APS Division of Fluid Dynamics Meeting Abstracts

Oliver Hennigh

Kaustubh Tangsali

Akshay Subramaniam

Susheela Narasimhan

Mohammad Nabian

...

2020

Turbulence Enrichment using Physics-informed Generative Adversarial Networks

arXiv preprint arXiv:2003.01907

Akshay Subramaniam

Man Long Wong

Raunak D Borker

Sravya Nimmagadda

Sanjiva K Lele

2020/3/4

See List of Professors in Akshay Subramaniam University(Stanford University)

Co-Authors

H-index: 74
Sanjiva Lele

Sanjiva Lele

Stanford University

H-index: 13
Niranjan Ghaisas

Niranjan Ghaisas

Indian Institute of Technology Hyderabad

H-index: 9
Man Long Wong

Man Long Wong

Stanford University

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