Artificially Intelligent Manufacturing Paradigm for Composites (AIM for Composites)

Director

Srikanth Pilla

Lead Institution

Clemson University

Class

2022-2026

Mission

To build an AI-enabled inverse design approach for fundamental understanding and integrated material-manufacturing design of advanced polymer composites.

Partner Institutions

Clemson
Brown
Univ of Florida
Ohio State
South Carolina State Univ
SRNL
PNNL

Quick Facts

Single Slide Overview
Technical Summary
https://clemson.edu/efrc/

BES Staff Contact

Aura Gimm; Katherine Brown

Grand Challenges Addressed

Grand
Challenge #2

Grand
Challenge #3

Transformative Opportunities Addressed

Mastering Hierarchical Architectures and Beyond-Equilibrium Matter

Trans. Opp. #1

Understanding the Critical Roles of Heterogeneity, Interfaces, and Disorder

Trans. Opp. #2

Revolutionary Advances in Models, Mathematics, Algorithms, Data, and Computing

Trans. Opp. #4

BES Reports Addressed

Transformative Manufacturing

Highlights

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A metallic line atop a medium biased at the edge of chaos can provide effective negative resistance for time-varying signals, outputting a larger signal compared to its input. The energy for amplification comes from the static bias applied to the medium.

The “Edge of Chaos” Amplifies Signals Without Transistors

Emulating the edge of chaos of axons enables a metal wire to overcome its resistance without cooling, thereby amplifying signals flowing inside of it.

Infrared laser light (red beam) illuminates the surface of ZrSiSe and mixes with electron oscillations enabled by an atomic force microscope (silver cone), propagating light as ray-like structures that guide the light through the interior (blue zig-zag).

What If Metals Could Conduct Light?

In the unusual world of quantum materials, metals can guide light in their interiors instead of merely reflecting it.