SOURCE-LINKED INTELLIGENCE
Molecular-Layer-Engineered Artificial Synapses for Ultralow-Energy Computing
Molecular-Layer-Engineered Artificial Synapses for Ultralow-Energy Computing Although the rise of artificial intelligence technology greatly benefits our life by improving work productivity, the increasingly high energy consumption required to operate these software programs to cope with huge computational tasks becomes a serious issue. This is mainly due to inefficient data transport between separated memory and computing units (von Neumann bottleneck) in traditional computers. To minimize energy cost while maintaining computing power, this MSCA-PF research project - MoleSynap - aims to design brain-inspired electronic devices. Specifically, MoleSynap will fabricate artificial synapses by emulating biological synapses. These artificial synaptic devices will be designed in three-terminal transistor configuration (synaptic transistors), given their excellent regulation of charge carrier flow during device operation. Current organic polymer-based synaptic transistors suffer from the de
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 193643.28
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.