AI-driven Quantum Material Architectures

0.0.0.0.1 USC and collaborators are developing a Future Manufacturing platform for quantum material architectures with the help of an NSF award.

0.1 Artificial Intelligence Driven Cybermanufacturing of Quantum Material Architectures

0.1.0.0.1 Grant from National Science Foundation’s Future Manufacturing Program

Collaborators: University of Southern California (Aiichiro Nakano and Ken-ichi Nomura), USC CARC (Marco Olguin), Harvard University, and Howard University

Project description: Quantum material architectures consist of graphene and other two-dimensional materials, which, when stacked in precise three-dimensional architectures, exhibit unique and tunable mechanical, electrical, optical, and magnetic properties. These three-dimensional architectures have broad potential applications and are highly promising components for microchips, batteries, antennas, chemical and biological sensors, solar-cells and neural interfaces. This grant is to develop a transformative Future Manufacturing platform for quantum material architectures using a cybermanufacturing approach, which combines artificial intelligence, robotics, multiscale modeling, and predictive simulation for the automated and parallel assembly of multiple two-dimensional materials into complex three-dimensional structures. A key outcome is an AI-driven, robotics-controlled cybermanufacturing microfluidic platform that is capable of manufacturing complex structures for emerging quantum and other device applications.

Tasks: (1) Provide HPC support and consulting; (2) Perform non-adiabatic quantum molecular dynamics simulations on complex, layered three-dimensional structures to determine stacking processes conducive to optimal performance for various device applications.

More information on the NSF grant can be found here.