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Impact of Phase-Change Memory Flicker Noise and Weight Drift on Analog Hardware Inference for Large-Scale Deep Learning Networks., , , , , , , , , and 4 other author(s). Adv. Intell. Syst., (2022)Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation., , , , , , , , , and 21 other author(s). IRPS, page 1-6. IEEE, (2021)Measurement of onset of structural relaxation in melt-quenched phase change materials., , , , , , , and . CoRR, (2021)Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , and 15 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)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., , , , , , , , , and 14 other author(s). VLSI Circuits, page 1-2. IEEE, (2021)Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State., , , , , , , , , and 1 other author(s). DRC, page 1-2. IEEE, (2021)In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory., , , , , , , , , and 8 other author(s). CoRR, (2022)Gradient descent-based programming of analog in-memory computing cores., , , , , , , , , and 4 other author(s). CoRR, (2023)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , and 11 other author(s). IRPS, page 1-10. IEEE, (2023)Ultrathin high band gap solar cells with improved efficiencies from the world’s oldest photovoltaic material, , , , , , , , and . Nature Communications, 8 (1): 682 (September 2017)