Vinit Sharma
About Vinit Sharma
Vinit Sharma is a Staff Scientist at the UT/ORNL Joint Institute for Computational Sciences, specializing in the reactivity of molecules and the development of computational strategies for inorganic materials. He has extensive experience in computational methods, having previously held postdoctoral positions at Oak Ridge National Laboratory and the University of Connecticut.
Work at Ridge
Vinit Sharma currently serves as a Staff Scientist at the UT/ORNL Joint Institute for Computational Sciences, a position he has held since 2018. In this role, he investigates the reactivity of molecules for various technology applications. His work involves developing high throughput computational strategies to explore dopant and defect chemical space for inorganic materials. Additionally, he researches structural phase diagrams and interfacial phenomena using computational methods, contributing to advancements in material science.
Education and Expertise
Vinit Sharma has a strong academic background in computational sciences. He completed his postdoctoral fellowship at the University of Connecticut from 2011 to 2015, where he gained experience in advanced computational techniques. His expertise includes crystal structure prediction of inorganic compounds, polymers, and molecules, as well as improving the electronic, mechanical, and magnetic properties of materials through computational approaches.
Background
Before his current role, Vinit Sharma worked as a Postdoctoral Fellow at Oak Ridge National Laboratory from 2015 to 2017. This two-year experience in Oak Ridge, Tennessee, provided him with valuable insights into computational sciences and molecular reactivity. He has been actively involved in research that bridges the gap between theoretical models and practical applications in material science.
Research Focus
Vinit Sharma's research focuses on the development of computational methods to enhance the understanding of material properties. He engages in the exploration of structural phase diagrams and interfacial phenomena, which are crucial for the advancement of various technologies. His work aims to improve the performance of inorganic materials by utilizing computational strategies to analyze their properties and behaviors.