.png){kind=icon}
.png){kind=icon}
Return
Peptide-Based Electronics for Neuromorphic Hardware
.png){kind=icon}
PRE
AI
DOI：10.1002/adfm.202517899.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
CMOS scaling faces atomic-scale limits and the crippling von Neumann bottleneck, while emerging bio-integrated artificial intelligence demands neuromorphic hardware with biocompatibility, flexibility, and degradability—requirements unmet by conventional electronics. This review positions peptide-based electronics as a transformative solution. Through supramolecular assembly, peptides form nanostructures exhibiting quantum-confined semiconducting, ferroelectric, and piezoelectric properties. Their inherent biological congruence, mechanical compliance, and stimulus-responsive intelligence uniquely enable seamless integration with living systems. The material design principles underpinning these functionalities are analyzed and critically evaluate peptide neuromorphic devices: memristors emulating synaptic plasticity via conductance tuning, and synaptic transistors leveraging peptide semiconductors or dielectrics. Crucially, how peptide devices’ convergence of electronic function, environmental adaptability, and biocompatibility unlocks novel bio-integrated applications is explored—implantable brain-computer interfaces, biodegradable medical diagnostics, secure adaptive systems, and conformal sensory intelligence. Key challenges in operational stability, scalability, and performance metrics are outlined, yet peptide electronics present a foundational pathway toward truly bio-integrated neuromorphic computing.
Keywords:
memristor
neuromorphic computing
peptide
self-assembly
transistor
Journal
IF:
19
Papers:
3.4W
Citations:
32.1W
Organization
View more organizations