Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics (REMIND)

Director

R. Stanley Williams

Lead Institution

Texas A&M Engineering Experiment Station

Class

2022-2026

Mission

To establish foundational scientific knowledge underpinning the function of reconfigurable materials, devices, and computing architectures that approach fundamental limits of energy efficiency and speed to enable emulation of specific neuronal and synaptic functions of the human brain.

Partner Institutions

Texas A&M Engineering Experiment Station
Lawrence Berkeley National Laboratory
National Renewable Energy Laboratory
Sandia National Laboratories

Quick Facts

Single Slide Overview
Technical Summary
https://remind.engr.tamu.edu/

BES Staff Contact

Claudia Cantoni

Aaron Holder

Grand Challenges Addressed

Grand
Challenge #1

Grand
Challenge #4

Grand
Challenge #5

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

Highlights

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Illustration showing a crystal structure, with balls connected by lines and a blue ball increasing in size moving above the structure

Thin Materials and Fat Electrons: A Recipe for New Quantum Phenomena

The 2D material cerium silicon iodide contains the same heavy electrons responsible for heavy fermion physics, something so far seen only in 3D materials.

Applying a voltage to lanthanum strontium manganite (LSMO) can cause it to separate into distinct regions with dramatically different magnetic properties, as illustrated by the red and blue colors in the above figure.

Tuning Magnetism With Voltage Opens a New Path to Neuromorphic Circuits

Experiments show that applied voltage can dramatically alter the magnetic properties of quantum materials.