Linear Synaptic Weight Update in Selector-Less HfO₂ RRAM Using Al₂O₃ Built-In Resistor for Neuromorphic Computing Systems

Author:

Kim Yunsur1,Kim Hyejin2,Jeon Seonuk1ORCID,Kim Hyun Wook1ORCID,Hong Eunryeong1ORCID,Kim Nayeon1ORCID,Choi Hyeonsik1ORCID,Park Hyoungjin1,Jeong Jiae1,Lee Daeseok1ORCID,Woo Jiyong1ORCID

Affiliation:

1. School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea

2. Department of Electronic Materials Engineering, Kwangwoon University, Seoul, South Korea

Funder

Technology Innovation Program

Ministry of Trade, Industry and Energy (MOTIE), South Korea

Ministry of Trade, Industry and Energy

Ministry of Science and ICT (MSIT), South Korea

Institute for Information and Communications Technology Planning and Evaluation

Technology Innovation Program Public-Private Joint Investment Semiconductor Research and Development program (K-CHIPS) to Foster High-Quality Human Resources

MOTIE, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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