2D Novel Antiferroelectric Materials for Neuromorphic Computing
Neuromorphic computing emulates biological neural networks for efficient, low-power information processing. In this study, we use the novel 2D antiferroelectric device (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{CuBiP}_{2} \text{Se}_{6}, \text{CBPS}$</tex>) 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.
Authors
- Dongliang Yang (ORCID: https://orcid.org/0000-0003-4072-6271)
- Linfeng Sun (ORCID: https://orcid.org/0000-0001-5851-8206)
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Published
- 2025-03-09
- DOI
- https://doi.org/10.1109/edtm61175.2025.11040793
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00