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About

Dhairya Gandhi is a researcher at the forefront of computational materials science, with a focused expertise in accelerating the discovery of novel electrochemical systems for sustainable energy and chemical production. His most significant contribution is the development of **AutoMat**, an automated, high-throughput computational framework designed to rapidly screen and identify promising materials for batteries, fuel cells, and electrified chemical processes. This work directly addresses a critical bottleneck in the energy transition: the slow, manual pace of traditional materials discovery. The flagship paper, "AutoMat: Automated materials discovery for electrochemical systems" (2022), has already garnered **19 citations**, signaling its growing influence in the field. Gandhi’s approach integrates advanced simulation, data management, and machine learning to drastically reduce the time from concept to viable material. His earlier work (2020) laid the foundational methodology for this accelerated discovery pipeline. By creating a tool that can systematically explore vast chemical spaces, Gandhi is helping to unlock the next generation of electrocatalysts and energy storage materials, making a tangible impact on the path to large-scale electrification and a cleaner chemical industry.