Process Challenge in Analog Computing Hardware using Phase Change Memory (PCM)Victor ChanI. Oket al.2023ASMC 2023
Optimization of Projected Phase Change Memory for Analog In-Memory Computing InferenceNing LiCharles Mackinet al.2023Advanced Materials
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)Martin M. FrankNing Liet al.2023IRPS 2023
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigationRobert L. BruceSyed Ghazi Sarwatet al.2021IRPS 2021
Precision of synaptic weights programmed in phase-change memory devices for deep learning inferenceS. R. NandakumarIrem Boybatet al.2020IEDM 2020
Confined PCM-based Analog Synaptic Devices offering Low Resistance-drift and 1000 Programmable States for Deep LearningWanki KimRobert L. Bruceet al.2019VLSI Technology 2019
NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learningSangbum KimMasatoshi Ishiiet al.2015IEDM 2015
A manufacturable dual channel (Si and SiGe) high-k metal gate CMOS technology with multiple oxides for high performance and low power applicationsS. KrishnanU. Kwonet al.2011IEDM 2011
Novel high-performance analog devices for advanced low-power high-k metal gate complementary metal-oxide-semiconductor technologyJin-Ping HanTakashi Shimizuet al.2011Japanese Journal of Applied Physics