검색결과 : 16건
| No. | Article |
|---|---|
| 1 |
Multistage opto-neuromorphic process system based on commercial optoelectric devices Choi M, Lee M, Lee B, Lee YT Current Applied Physics, 20(10), 1125, 2020 |
| 2 |
[기획특집: COVID-19 이후의 공업화학 기술 II] 고령화 사회 원격 진료를 위한 확률론적 예측인공지능 연구 정재승, 주현수 Korean Industrial Chemistry News, 23(6), 3, 2020 |
| 3 |
Ar+ ions irradiation induced memristive behavior and neuromorphic computing in monolithic LiNbO3 thin films Pan XQ, Shuai Y, Wu CG, Zhang L, Guo HL, Cheng H, Peng Y, Qiao SJ, Luo WB, Wang T, Sun XY, Zeng HZ, Zhang JW, Zhang WL, Ou X, Du N, Schmidt H Applied Surface Science, 484, 751, 2019 |
| 4 |
Hardware implementation of neural network using pre-programmed resistive device for pattern recognition Choi W, Moon K, Kwak M, Sung C, Lee J, Song J, Park J, Chekol SA, Hwang H Solid-State Electronics, 153, 79, 2019 |
| 5 |
Analysis of resistive switching processes in TiN/Ti/HfO2/W devices to mimic electronic synapses in neuromorphic circuits Gonzalez-Cordero G, Pedro M, Martin-Martinez J, Gonzalez MB, Jimenez-Molinos F, Campabadal F, Nafria N, Roldan JB Solid-State Electronics, 157, 25, 2019 |
| 6 |
A flexible characterization methodology of RRAM: Application to the modeling of the conductivity changes as synaptic weight updates Pedro M, Martin-Martinez J, Rodriguez R, Gonzalez MB, Campabadal F, Nafria M Solid-State Electronics, 159, 57, 2019 |
| 7 |
Integrated neuron circuit for implementing neuromorphic system with synaptic device Lee JJ, Park J, Kwon MW, Hwang S, Kim H, Park BG Solid-State Electronics, 140, 34, 2018 |
| 8 |
더블 PI:PCBM 유전체 층 기반의 초 저전력 CNT 시냅틱 트랜지스터 김용훈, 조병진 Korean Journal of Materials Research, 27(11), 590, 2017 |
| 9 |
Multistability in Bistable Ferroelectric Materials toward Adaptive Applications Ghosh A, Koster G, Rijnders G Advanced Functional Materials, 26(31), 5748, 2016 |
| 10 |
A review of emerging non-volatile memory (NVM) technologies and applications Chen A Solid-State Electronics, 125, 25, 2016 |