Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State. - Haibo Gong; Rubab Ume; Vadim Tokranov; Michael Yakimov; Devendra Sadana; Kevin Brew; Guy Cohen; Sandra Schujman; Karsten Beckmann; Nathaniel C. Cady; Serge Oktyabrsky (DRC, 2021)

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. - Robert L. Bruce; Syed Ghazi Sarwat; Irem Boybat; Cheng-Wei Cheng; Wanki Kim; S. R. Nandakumar; Charles Mackin; Timothy Philip; Zuoguang Liu; Kevin Brew; Nanbo Gong; Injo Ok; et al. (IRPS, 2021)

HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Braendli; Femg Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (VLSI Circuits, 2021)

Measurement of onset of structural relaxation in melt-quenched phase change materials. - Benedikt Kersting; Syed Ghazi Sarwat; Manuel Le Gallo; Kevin Brew; Sebastian Walfort; Nicole Saulnier; Martin Salinga; Abu Sebastian (CoRR, 2021)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. - Geethan Karunaratne; Michael Hersche; Jovin Langenegger; Giovanni Cherubini; Manuel Le Gallo; Urs Egger; Kevin Brew; Samuel Choi; Injo Ok; Mary Claire Silvestre; Ning Li; Nicole Saulnier; et al. (ESSCIRC, 2022)

Impact of Phase-Change Memory Flicker Noise and Weight Drift on Analog Hardware Inference for Large-Scale Deep Learning Networks. - Jin-Ping Han; Malte J. Rasch; Zuoguang Liu; Paul Solomon; Kevin Brew; Kangguo Cheng; Injo Ok; Victor Chan; Michael Longstreet; Wanki Kim; Robert L. Bruce; Cheng-Wei Cheng; et al. (Adv. Intell. Syst., 2022)

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. - Manuel Le Gallo; Riduan Khaddam-Aljameh; Milos Stanisavljevic; Athanasios Vasilopoulos; Benedikt Kersting; Martino Dazzi; Geethan Karunaratne; Matthias Braendli; Abhairaj Singh; Silvia M. Mueller; Julian Büchel; Xavier Timoneda Comas; et al. (CoRR, 2022)

HERMES-Core - A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Brändli; Feng Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (IEEE J. Solid State Circuits, 2022)

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). - Martin M. Frank; Ning Li; Malte J. Rasch; Shubham Jain; Ching-Tzu Chen; Ramachandran Muralidhar; Jin-Ping Han; Vijay Narayanan; Timothy Philip; Kevin Brew; Andrew Simon; Iqbal Saraf; et al. (IRPS, 2023)

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). - Geoffrey W. Burr; Pritish Narayanan; Stefano Ambrogio; Atsuya Okazaki; Hsinyu Tsai; Kohji Hosokawa; Charles Mackin; Akiyo Nomura; Takeo Yasuda; J. Demarest; Kevin Brew; Victor Chan; et al. (VLSI Technology and Circuits, 2023)

Gradient descent-based programming of analog in-memory computing cores. - Julian Büchel; Athanasios Vasilopoulos; Benedikt Kersting; Frédéric Odermatt; Kevin Brew; Injo Ok; Samuel Choi; Iqbal Saraf; Victor Chan; Timothy Philip; Nicole Saulnier; Vijay Narayanan; et al. (CoRR, 2023)

An analog-AI chip for energy-efficient speech recognition and transcription. - Stefano Ambrogio; Pritish Narayanan; Atsuya Okazaki; Andrea Fasoli; Charles Mackin; Kohji Hosokawa; Akiyo Nomura; Takeo Yasuda; An Chen 002; Alexander M. Friz; Masatoshi Ishii; Jose Luquin; et al. (Nat., 2023)

Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. - Julian Büchel; Athanasios Vasilopoulos; Benedikt Kersting; Corey Lammie; Kevin Brew; Timothy Philip; Nicole Saulnier; Vijay Narayanan; Manuel Le Gallo; Abu Sebastian (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Backside Power Distribution for Nanosheet Technologies Beyond 2nm. - Ruilong Xie; Wonhyuk Hong; Chen Zhang; Jongjin Lee; Kevin Brew; Richard Johnson; Nicholas A. Lanzillo; Hosadurga Shobha; Taesun Kim; Panjae Park; Shogo Mochizuki; Iqbal Saraf; et al. (VLSI Technology and Circuits, 2024)