activity
20142026
most citedBrain-like associative learning using a nanoscale non-volatile phase change synaptic device array

210 citations · 332 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

Analogue Phase Change Computational Memory with High Precision Reads and Energy Efficient Writes

Ghazi Sarwat Syed, Loris Coccia, Vara Prasad Jonnalagadda +4

Resistive memory technologies offer a compelling advantage for in-memory computing. However, realizing a device architecture that simultaneously achieves high computational precisi…

cond-mat.mtrl-sci2026

Reliable and High Performance IGZO and In2O3 Transistors via Channel Capping

C. W. Cheng, J. Smith, K. Mashooq +13

A device and process strategy for achieving reliable indium gallium zinc oxide and indium oxide transistors compatible with a 400oC BEOL thermal budget and without performance degr…

cond-mat.mtrl-sci2025

Innovative Oxide Transistor Satisfying Performance and Reliability Simultaneously by Understanding of Physics and Materials Properties

C. W. Cheng, J. Smith, P. Solomon +12

Guided by a comprehensive analysis of accumulation mode transistor physics and oxide semiconductor materials properties, we demonstrate an innovative oxide semiconductor transistor…

physics.app-ph2021★ 48 cited

Projected mushroom-type phase-change memory

Syed Ghazi Sarwat, Timothy M. Philip, Ching-Tzu Chen +7

Phase-change memory devices have found applications in in-memory computing where the physical attributes of these devices are exploited to compute in place without the need to shut…

cs.NE2016★ 33 cited

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi +6

Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging…

cs.NE2014★ 210 cited

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4

Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nano…

cs.NE2014★ 41 cited

Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices

S. Burc Eryilmaz, Duygu Kuzum, Rakesh G. D. Jeyasingh +4

The computational performance of the biological brain has long attracted significant interest and has led to inspirations in operating principles, algorithms, and architectures for…