Kim, Eunjin https://orcid.org/0000-0002-4018-345X
Jeon, Seonuk https://orcid.org/0000-0003-4129-4853
Park, Hyoungjin https://orcid.org/0009-0009-9621-1147
Jeong, Jiae
Choi, Hyeonsik https://orcid.org/0009-0004-9676-9355
Kim, Yunsur https://orcid.org/0009-0005-2953-0712
Kim, Jihyun
Lim, Seokjae https://orcid.org/0000-0002-9592-1528
Moon, Kibong
Woo, Jiyong https://orcid.org/0000-0002-4968-6985
Funding for this research was provided by:
Technology Innovation Program (RS-2023-00236568)
Ministry of Science and ICT, Korea (IITP-2024-RS-2022-00156225)
Ministry of Trade, Industry & Energy (Technology Innovation Program (Customizable Low-power AI Accelerator and Software Based on Resistive ACiM for Edge Devices))
National R&D Program through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT (RS-2023-00258227)
Article Title: Optimizing electrochemical and ferroelectric synaptic devices: from material selection to performance tuning
Journal Title: Neuromorphic Computing and Engineering
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-09-07
Date Accepted: 2025-02-12
Online publication date: 2025-02-20