AI-driven Quantum Material Architectures

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

1 Artificial Intelligence Driven Cybermanufacturing of Quantum Material Architectures

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.