Hybrid Meeting
On-line and In Person at Quadrant

Refreshments will be available at Quadrant prior to the start of the presentation.
Presentation starts at 7:00 PM PT (GMT-8)

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Abstract:

Neuromorphic computing, or brain-inspired computing, is a promising solution to the energy inefficiency of the von Neumann architecture in AI applications. Practical implementation of spin-based neuromorphic computing requires designing and fabricating electronic analogues of neurons and synapses, with synaptic devices offering multiple resistance states and neuron devices providing pulse outputs when input thresholds are exceeded. Our laboratory has been developing various synaptic and neuron devices, focusing on domain wall (DW) devices based on magnetic tunnel junctions (MTJs). These devices, driven by spin-orbit torque, achieve low-energy DW motion and translate DW position into resistance levels or voltage pulses. This talk will cover the design of synthetic neurons, synaptic elements, and materials, starting with an introductory overview at first-year graduate student level, and concluding with the latest research developments.

Speaker:

S. N. (Prem) Piramanayagam, Associate Professor at Nanyang Technological University (NTU), Singapore, holds a master’s degree in physics from the University of Kerala, India, and a Ph.D. from the Indian Institute of Technology, Bombay, India. With 30 years of experience in magnetism, his research covers magnetic alloys, permanent magnetic materials, and nanostructures for recording and spintronics. He has worked at Shinshu University, Japan, and the Data Storage Institute (DSI), Singapore. Prem has received teaching and research awards from NTU and DSI. A Senior Member of IEEE, he has actively contributed to the IEEE Magnetics Society, serving as chair of the Technical Committee, member of the Administrative Committee, chair of the Singapore Chapter, and general co-chair of the 2018 Intermag Conference. He has published around 200 journal articles, filed several patents, and serves as an editor for IEEE Transactions on Magnetics. He co-edited “Developments in Data Storage: Materials Perspective” (Wiley-IEEE Press, 2011).