Jun 22 – 25, 2025
University of South Dakota
US/Central timezone

Towards Large-scale Quantum Accuracy Materials Simulations

Not scheduled
20m
University of South Dakota

University of South Dakota

Physics-Informed Machine Learning and Quantum Computing for Advanced Material Design

Speaker

Vikram Gavini (University of Michigan)

Description

Recent progress in addressing the system size and accuracy limitations of ab-initio materials simulations will be presented. In particular, the development of computational methods and numerical algorithms for conducting fast and accurate large-scale DFT calculations using adaptive finite-element discretization will be presented, which form the basis for the recently released DFT-FE open-source code. The computational efficiency, scalability and performance of DFT-FE will be presented, which demonstrates a significant outperformance of widely used plane-wave DFT codes. Some recent application studies that highlight the capabilities of DFT-FE will be presented. In improving the accuracy of DFT calculations towards quantum accuracy, recent progress in accurately solving the inverse DFT problem will be presented, which has enabled the computation of exact exchange-correlation potentials for polyatomic systems. Ongoing efforts on using the exact exchange-correlation potentials to develop a data-driven approach for improving the exchange-correlation functional description in DFT will be discussed.

Primary author

Vikram Gavini (University of Michigan)

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