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Deepak Srivastava, PH.D

Bio

Deepak Srivastava has been a CTO and Sr. Technology Advisor for Silicon Valley based start-up companies with projects on multi-phase metal-oxide based nano-composites for automotive emission control and Li-ion battery (LIB) for energy storage applications. Prior to this Srivastava developed quantum simulations and nano-materials synthesis based design, optimization, and product development for high energy Li-Ion composite cathode materials for PHEV and EV applications. For more than last ten years, Deepak Srivastava was also a lead scientist and task manager of computational materials design and nanotechnology related activities at NASA Ames Center for Nanotechnology. He has published more than 110 peer reviewed journal technical papers, given more than 110 invited talks, and filed 7 patents on the computational materials design, nanotechnology and nanomaterials for aerospace, defense, energy storage, and automotive emission control related applications. Srivastava has organized and chaired many US and international conferences and conference sessions in the nanotechnology and clean energy related areas. Served as Associate Editor and Editorial Board Member of Nanotechnology (IOP), Journal of Nanoscience and Nanotechnology (JNN), Computer Modeling in Engineering and Sciences (CMES), and Composite Science and Technology (CST) peer reviewed journals, and is a winner of Richard P. Feynman Prize in Nanotechnology (Theory) in 1997, Veridian Medal Paper Award (1999), The Eric Reissener Medal (2002), and CSC Award for Technical Excellence (2003).

Abstract

Advanced Computational Materials Design for High Capacity Energy Storage: Li-ion Battery

High rate and high energy density lithium ion batteries (LIB) constitute a major requirement for plug-in-hybrid (PHEV) and electric (EV) automotive, and smart- grid related energy storage applications. Year-to-year electrochemical performance improvements in Li-ion batteries are typically limited to within 3-4% unless new electrode materials, chemistries and improvements in them are introduced rapidly. Recently we developed a patent pending ab-initio density functional theory (DFT) level quantum simulations based battery materials database and design technology platform for new LIB electrode materials compositions and morphologies much faster than what is feasible through the current empirical experimental methods. The acceleration of technology innovation and development includes not only the quantum simulated database and materials composition design software but also the experimentally synthesized, characterized, and validated nano-scale compositions and composites for specific capacity, voltage, volume-change on charge and discharge, relative safety and cycling. This talk will introduce the basic innovations in the approach, simulated results and comparison with experimental data, followed by a brief discussion of the methodology and results within the context of US Materials Genome Initiative.