발행물

전체 논문

73

1

Verification of neuromorphic processing accuracy against non-ideal errors in synapse-based neural network systems
Jo Hwi Jeong, Kang Minil, Um Minseong, Kim Juhee, Kwon Kon-Woo, Kim Seyoung, Lee Hyung-Min
International Journal of Circuit Theory and Applications, 2025

2

Design Strategies of Capacitor-Based Synaptic Cell for High-Efficiency Analog Neural Network Training
Lee, B., Ji, W., Kim, H., Han, S., Park, G., Hur, P., Jeon, G., Lee, H.-M., Chung, Y., Son, J., Noh, Y.-Y., Kim, S.
Advanced Intelligent Systems, 2024

3

Attojoule Hexagonal Boron Nitride-Based Memristor for High-Performance Neuromorphic Computing
Kim, J, Song, J, Kwak, H, Choi, CW, Noh, K, Moon, S, Hwang, H, Hwang, I, Jeong, H, Choi, SY, Kim, S, Kim, JK
Small, 2024

4

A Multi-bit ECRAM-Based Analog Neuromorphic System with High-Precision Current Readout Achieving 97.3% Inference Accuracy
Um, M., Kang, M., Eom, K., Kwak, H., Noh, K., Lee, J., Son, J., Kwon, J., Kim, S., Lee, H.-M.
IEEE Transactions on Biomedical Circuits and Systems, 2024

5

Device Specifications for Neural Network Training with Analog Resistive Cross­Point Arrays Using Tiki­Taka Algorithms
Byun, Jinho, Kim, Seungkun, Kim, Doyoon, Lee, Jimin, Ji, Wonjae, Kim, Seyoung
Advanced Intelligent Systems, 2024

6

Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator
Noh, K., Kwak, H., Son, J., Kim, S., Um, M., Kang, M., Kim, D., Ji, W., Lee, J., Jo, H., Woo, J., Lee, H.-M., Kim, S.
Science Advances, 2024

7

Accurate Weight Update in an Electrochemical Random-Access Memory Based Cross-Point Array Using Channel-High Half-Bias Scheme for Deep Learning Accelerator
Kim S., Son J., Kwak H., Kim S.
Advanced Electronic Materials, 2023

8

WOx channel engineering of Cu-ion-driven synaptic transistor array for low-power neuromorphic computing
Jeon Seonuk, Kang Heebum, Kwak Hyunjeong, Noh Kyungmi, Kim Seungkun, Kim Nayeon, Kim Hyun Wook, Hong Eunryeong, Kim Seyoung, Woo Jiyong
Scientific Reports, 2023

9

Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
Song, M.-K., Kang, J.-H., Zhang, X., Ji, W., Ascoli, A., Messaris, I., Demirkol, A.S., Dong, B., Aggarwal, S., Wan, W., Hong, S.-M., Cardwell, S.G., Boybat, I., Seo, J.-S., Lee, J.-S., Lanza, M., Yeon, H., Onen, M., Li, J., Yildiz, B., del, Alamo J.A., Kim, S., Choi, S., Milano, G., Ricciardi, C., Alff, L., Chai, Y., Wang, Z., Bhaskaran, H., Hersam, M.C., Strukov, D., Wong, H.P., Valov, I., Gao, B., Wu, H., Tetzlaff, R., Sebastian, A., Lu, W., Chua, L., Yang, J.J., Kim, J.
ACS Nano, 2023

10

Highly Linear and Symmetric Analog Neuromorphic Synapse Based on Metal Oxide Semiconductor Transistors with Self-Assembled Monolayer for High-Precision Neural Network Computation
CHUNG, Y, PARK, S, JEON, G, JI, W, NOH, K, KIM, S, SEONG, S
Advanced Electronic Materials, 2023