Physics and applications of magnetic interactions in topological insulators - Timothy Philip (2018)

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)

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)

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)

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)