Nick (Aagnik) Pant

UC Davis (Asst. Prof) ← UT Austin (Postdoc) ← U Mich (Ph.D.) ← McGill (B.Eng.)  

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Hello!  I no longer actively maintain this website. For up-to-date information on my research and recruiting activites, please check out my research group site at the University of California, Davis.

My research focuses on uncovering how microscopic electronic and atomic interactions shape the macroscopic behavior of materials and devices. I develop methods at the intersection of quantum chemistry, machine learning, and high-performance computing to build predictive simulations that connect electrons to atoms to devices. Rather than using AI simply as a tool for acceleration, I use it to discover governing equations and effective models that capture the essential physics of complex material systems. This approach transforms simulation from a descriptive tool into a predictive framework that can guide experiments, benchmark performance, and enable the design of next-generation semiconductors for applications ranging from clean energy to quantum and AI hardware.

I have a track record in tackling fundamental challenges in semiconductors through collaborations with experimentalists and industry partners, such as Lumileds, one of industry's most significant and pioneering LED manufacturers. To learn more, read this invited feature article I wrote for Compound Semiconductor.

I am a recipient of the NSERC Postgraduate Scholarship and the MICDE Graduate Fellowship.