Rajat Arora

Rajat Arora

Senior Member of Technical Staff

Advanced Micro Devices (AMD)

Biography

Dr. Rajat Arora graduated with a Ph.D. in the field of Computational Mechanics from Carnegie Mellon University (CMU). His research at the time focused on numerical analysis, material science, and scientific software development.

Currently, Dr. Arora is a senior member of techical staff at AMD. Prior to joining AMD, he was a research scientist at Siemens Technology where his research focused on developing computational and (physics-informed) machine learning tools to accelerate scientific discovery and engineering design. Dr. Arora worked at Ansys, Inc. before joining Siemens where he made notable enhancements to the core solver of the Twin Builder product.

Interests
  • Software Development
  • Scientific Computing
  • Machine Learning
  • Parallel/Distributed Computing
  • Applied Mathematics
  • High Performance Computing
Education

  • Ph.D. in Computational Mechanics, 2019

    Carnegie Mellon University, USA

  • M.S. in Computational Mechanics, 2018

    Carnegie Mellon University, USA

  • M.Tech. in Mechanical Engineering, 2014

    Indian Institute of Technology Kanpur (IITK), India

  • B.Tech. in Mechanical Engineering, 2014

    Indian Institute of Technology Kanpur (IITK), India

Skills

Python, C/C++, FORTRAN
Data Structures / Algorithm
Machine Learning
Applied Mathematics
High Performance Computing

Experience

 
 
 
 
 
Senior Member of Technical Staff
Advanced Micro Devices, Inc. (AMD)
Feb 2022 – Present Austin, Texas
 
 
 
 
 
Research Scientist
Siemens
Aug 2020 – Feb 2022 Princeton, New Jersey
 
 
 
 
 
Research & Development Engineer II
Ansys, Inc.
Mar 2019 – Jul 2020 Pittsburgh, PA

Accomplish­ments

Coursera
Neural Networks and Deep Learning
Coursera Jan 2021
Advanced C++ programming
Udemy Jan 2016
See certificate

Publications

Rajat Arora, Ankit Shrivastava (2022). Physics-informed spatio-temporal resolution enhancement for computational elastodynamics. In Preparation.

Esteban Zegpi Hunter, Rajat Arora, Amit Acharya, John Hirth (2022). Self-fields for disconnections with disclination, dislocation and step character. In Preparation.

Siddharth Singh, H. Liu, Rajat Arora, Robert Suter, Amit Acharya (2022). Modeling of experimentally observed topological defects inside bulk polycrystals. In Preparation.

Rajat Arora, Pratik Kakkar, Biswadip Dey, Amit Chakraborty (2022). Physics-informed neural networks for modeling rate- and temperature-dependent plasticity. Submitted. Under Review.

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Rajat Arora (2022). PhySRNet: Physics informed super-resolution network for application in computational solid mechanics. IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications in conjunction with SC'22.

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Abhishek Arora, Rajat Arora, Amit Acharya (2022). Mechanics of micropillar confined thin film plasticity. Acta Materialia.

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Rajat Arora (2021). Machine Learning-Accelerated Computational Solid Mechanics - Application to Linear Elasticity. 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE).

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Rajat Arora, Amit Acharya (2020). A unification of finite deformation J_2 Von‐Mises plasticity and quantitative dislocation mechanics. Journal of the Mechanics and Physics of Solids.

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Rajat Arora, Amit Acharya (2020). Dislocation pattern formation in finite deformation crystal plasticity. International Journal of Solids and Structures.

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Rajat Arora, Xiaohan Zhang, Amit Acharya (2020). Finite element approximation of finite deformation dislocation mechanics. Computer Methods in Applied Mechanics and Engineering.

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Tushar Joshi, Rajat Arora, Anup Basak, Anurag Gupta (2020). Equilibrium shape of misfitting precipitates with anisotropic elasticity and anisotropic interfacial energy. Modelling and Simulation in Materials Science and Engineering.

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