Abstract: Nanoscale magnetic materials are powerful building blocks for AI, for in-memory computing as well as for energy storage. We will present results on fabricating magnetic neurons for neuromorphic computing. The domain wall-based neurons operate with high reliability and have spontaneous leaking due to shape anisotropy. For energy, we will show that nanogranular CoZrO has low coercivity with high saturation flux density for on-chip magnetic core components. These advances showcase the convergence of materials and device engineering for AI.
Bio: Jean Anne C. Incorvia is an Associate Professor and Engineering Foundation Endowed Faculty in Electrical and Computer Engineering at The University of Texas at Austin, where she directs the Integrated Nano Computing Lab. Dr. Incorvia develops nanodevices using emerging physics and materials, with an emphasis on applications in computing.