tinyML Talks: Novel Device and Materials in Emerging Memory for Neuromorphic Computing

Towards the end of Moore’s law scaling limit, a critical need for novel device technologies is developed to break the limits of computing performance at the nanoscale meanwhile enabling better energy efficiency and power reduction. A new approach with the new materials and new device designs for exploring new computing paradigms attracts attention. To enable the highly efficient data-driven computing while with high reliability of memory storage, the new hardware technology on materials and devices are developed. This talk introduces the current development of novel materials in emerging electronics, such as highly scalable self-rectified memory, two-dimensional memory, self-aligned helical-structured materials, thermal stability investigation for next-generation memory, and neuromorphic computational applications.

Date

April 8, 2022

Location

Virtual

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Novel Device and Materials in Emerging Memory for Neuromorphic Computing

Ying-Chen (Daphne) CHEN, Assistant Professor

School of Informatics, Computing and Cyber Systems, Department of Electrical Engineering at Northern Arizona University

Ying-Chen (Daphne) CHEN, Assistant Professor

School of Informatics, Computing and Cyber Systems, Department of Electrical Engineering at Northern Arizona University

Ying-Chen (Daphne) Chen received a Ph.D. degree in Electrical and Computer Engineering (ECE) at The University of Texas at Austin in 2019, B.S. and M.S. degree from National Chiao Tung University (Taiwan). She is currently the assistant professor in the School of Informatics, Computing and Cyber Systems, Department of Electrical Engineering at Northern Arizona University. She is also the affiliate professor in Materials Research and Diversity Center at NAU. Before joining NAU, she was the R&D Pathfinding Emerging Memory Engineer at Micron Technology, working on emerging memory and future memory applications. Her primary research focuses on emerging electronics and memory devices for high storage class, new computing, and energy-efficient integrated systems. She has authored/co-authored over 60 technical publications and one book chapter. She was also the recipient of the Sandia National Laboratory Research Award 2019 and EECS Rising Stars 2017.

Schedule subject to change without notice.