Venkat Viswanathan

Venkat Viswanathan's research focus is on understanding and developing novel electrochemical devices for energy storage and utilization. The research strategy is based on a theoretical treatment of interfacial processes at different length and time scales. Quantitative models are developed employing density functional theory calculations, non-equilibrium Green's function transport and continuum scale modeling as appropriate. The predictions of these models are compared to experiments and the feedback from experiments are fed back into the models enabling a synergistic tying of theory and experiment.
His graduate work involved understanding and identifying the fundamental limitations of lithium-air batteries and trends in electrocatalysis of oxygen reduction. His awards include Electrochemical Society Daniel Cubicciotti Award in 2010; Electrochemical Society Herbert H. Uhligh Summer Fellow in 2009.
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Statistical Thermodynamics: Molecules to Machines (Coursera) Coursera
Carnegie Mellon University

Statistical Thermodynamics: Molecules to Machines (Coursera)

Dive into the world of Statistical Thermodynamics and explore how molecules interact at a fundamental level to influence the properties we observe in everyday life. This course bridges the gap between microscopic and macroscopic scales, providing insights crucial for advanced engineering and biological research.

Jun 14th 2026
5-12 Weeks
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