Work with thought leaders and academic experts from San Jose State University

Researchers on NotedSource with connections to San Jose State University include Kush Desai, Prathamesh Deshpande, Ravikumar Vasudevan, Sherveen Riazati, Ph.D., and Jason Pruitt.

Prathamesh Deshpande

Postdoctoral Researcher at San Jose State University Research Foundation
Experience

San Jose State University Research Foundation

Postdoctoral Research Association / September, 2022Present

• Setup molecular dynamics or MD software packages to perform atomistic simulation on Department HPC. Understood and implemented software compilation techniques to utilize GPU acceleration for efficient simulation methods. • Project #1: Engineered a GQD and epoxy nanocomposite and investigated the mechanical response in tension using MD. Extended this workflow to an amine functionalized GQD which illustrated a 6% increase in stiffness and 17% increase in strength of the nanocomposite. The nanocomposite was investigated for free volume and GQD orientations to understand the role of the GQD n the improved properties of the material. Current work involves modeling different functionalization chemistries on the GQD and the impact on the epoxy nanocomposite. In future, the observations from this work can be leveraged to design optimal GQD filled polymer composites. • Prepared tutorials and case studies to develop future work force.

Research Expertise
Molecular Dynamics
Process Modeling
Computational Mechanics
Multiscale Modeling
FEM
And 13 more
About
With a Ph.D. in Mechanical Engineering from Michigan Technological University, I am a Postdoctoral Researcher at San José State University Research Foundation, where I work on a multidisciplinary project to discover high-performance structures using quantum dot nanocomposites. This project, funded by the National Science Foundation, combines molecular dynamics, machine learning, and data-driven methods to explore the mechanical behavior of novel materials at different scales. My research interests and skills include material design, polymer composites, micro-mechanics, solid mechanics, stress analysis, finite element analysis, optimization, and geometric modeling. I have extensive experience in using molecular dynamics simulations to investigate the interfacial properties of carbon-reinforced composites and developing machine learning models to efficiently map interfacial configurations to interfacial strength. I have also worked on developing an integrated computational materials engineering framework to predict the thermo-mechanical properties of polymer matrix composites using nanoscale results. I have published multiple papers in peer-reviewed journals and conferences and received an outstanding graduate student teaching award for my role as a lab instructor for a finite element methods course. I am passionate about advancing the knowledge and innovation in the field of computational mechanics and materials design and collaborating with researchers and industry partners to solve challenging engineering problems.

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