Neuromorphic computing systems : crystalline resistive random access memory
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020
Main Author: | Tan, Scott H.(Scott Howard) |
---|---|
Other Authors: | Jeehwan Kim. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/127915 |
Similar Items
-
Epitaxial SiGe synapses for neuromorphic arrays
by: Tan, Scott H. (Scott Howard)
Published: (2018) -
Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing
by: Zahoor, Furqan, et al.
Published: (2023) -
Programming Techniques of Resistive Random-Access Memory Devices for Neuromorphic Computing
by: Pau Machado, et al.
Published: (2023-11-01) -
Conductive Bridge Random Access Memory (CBRAM): challenges and opportunities for memory and neuromorphic computing applications
by: Abbas, Haider, et al.
Published: (2022) -
Large-scale neuromorphic computing hardware for analog AI enabled by epitaxial random access memory
by: Choi, Chanyeol.
Published: (2020)