Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C)
Director
Ivan Schuller
Lead Institution
University of California, San Diego
Class
2018-2022
Mission
To lay down the quantum-materials-based foundation for the development of an energy-efficient, fault-tolerant computer that is inspired and works like the brain (“neuromorphic”).
Research Topics
bio-inspired, charge transport, magnetism and spin physics, quantum information science, mesoscale science, materials and chemistry by design, mesostructured materials, synthesis (novel materials), synthesis (predictive)
Materials Studied
Materials: metal, oxide, ceramic
Interfaces: inorganic/inorganic, solid/solid
Nanostructured Materials: 1D, 2D
Experimental and Theoretical Methods
X-ray diffraction and scattering, X-ray imaging, X-ray spectroscopy, electron microscopy, scanning probe microscopy, surface science, molecular dynamics (MD), density functional theory (DFT), dynamical mean field theory (DMFT), mesoscale modeling, multiscale modeling
Partner Institutions
- Argonne National Laboratory
- Brookhaven National Laboratory
- National Center for Scientific Research
- National Institute of Standards and Technology
- New York University
- Northwestern University
- Purdue University
- University of California, Davis
- University of California, San Diego
- University of California, Santa Barbara
- University of Chicago
