TY - GEN
T1 - 2D Novel Antiferroelectric Materials for Neuromorphic Computing
AU - Yang, Dongliang
AU - Sun, Linfeng
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Neuromorphic computing emulates biological neural networks for efficient, low-power information processing. In this study, we use the novel 2D antiferroelectric device (CuBiP2Se6, CBPS) for neuromorphic computing that exhibits tunable synaptic behavior under electrical and optical stimuli, successfully mimicking Pavlovian conditioning. Through innovatively integrating multi-modal information, this research has opened up a new path for constructing more flexible and efficient brain-like computing architectures.
AB - Neuromorphic computing emulates biological neural networks for efficient, low-power information processing. In this study, we use the novel 2D antiferroelectric device (CuBiP2Se6, CBPS) for neuromorphic computing that exhibits tunable synaptic behavior under electrical and optical stimuli, successfully mimicking Pavlovian conditioning. Through innovatively integrating multi-modal information, this research has opened up a new path for constructing more flexible and efficient brain-like computing architectures.
KW - Antiferroelectric
KW - CuBiPSe
KW - Neuromorphic computing
UR - http://www.scopus.com/pages/publications/105010829404
U2 - 10.1109/EDTM61175.2025.11040793
DO - 10.1109/EDTM61175.2025.11040793
M3 - Conference contribution
AN - SCOPUS:105010829404
T3 - 9th IEEE Electron Devices Technology and Manufacturing Conference: Shaping the Future with Innovations in Devices and Manufacturing, EDTM 2025
BT - 9th IEEE Electron Devices Technology and Manufacturing Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2025
Y2 - 9 March 2025 through 12 March 2025
ER -