This project targets creating a mathematical and conceptual framework to describe topological defects, a phenomenon that occurs when two patterns in organized matter meet at a seam. The curve created where the joining surface ends is called a topological line defect, and depending on the situation and material, its effects can range from useful to interesting, to even catastrophic. This work will seed technological advances relevant to societal grand challenges in seismic forecasting, infrastructure renewal, and energy-efficient transportation.

Faculty: Amit Acharya and Jerry Wang

This collaborative research project, led by Professor Kaushik Dayal, seeks to enhance the understanding and application of composite materials in aviation, particularly carbon fiber composites. Utilizing quantum mechanics to develop novel computational methods for modeling the behavior of these materials at a fundamental level. The project involves collaboration with multiple institutions, fostering a multidisciplinary approach. With a grant from the Department of Defense, the team aims to bridge the gap between theoretical chemistry models and practical engineering applications, potentially impacting aviation and other industries reliant on advanced materials.

Faculty: Kaushik Dayal

This project leverages improved probabilistic modeling methods to ensure the integrity of windmills for electricity generation in order to promote decreased dependence on fossil fuels and sustainability.

Faculty: Matteo Pozzi

This work aims to develop a novel computational tool for accurate multi-scale simulations of plasticity and dislocation microstructure evolution in crystalline materials. The challenge addressed will be the computation of plastic strength and associated material microstructure at the meso and macro scale directly from the underlying motion of crystal defects. This application is a paradigmatic complex system with immense practical relevance.

Faculty: Amit Acharya