This $400,000 National Science Foundation (NSF) Engineering program (CFDA 47.041) award will support a collaborative project involving the University of Minnesota, Indian Institute of Technology Ropar, and Indian Institute of Technology Delhi to develop energy-efficient magnetic tunnel junctions (MTJs) based on quantum materials for stochastic and neuromorphic computing applications. The key products of this 3-year project will be the design, synthesis, and fabrication of quantum materials-based MTJs that can enable a new computing paradigm called stochastic computing computational random-access memory (SC-CRAM). This research aims to advance unconventional computing technologies beyond the limits of classical computing, with the goal of creating faster, more efficient, and more capable computing systems. The project will combine theoretical calculations, material synthesis, and advanced manufacturing techniques to realize this vision.
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