SCIENCE@home

Peptide‐Based Electronics for Neuromorphic Hardware

Zezhuang Yi,Zhikai Lin,Yue Yao,Yongbiao Zhai,Yan Wang,Qiyan Zhang,Ye Zhou,Ziyu Lv,Su‐Ting Han

Published 2025 in Advanced Functional Materials

ABSTRACT

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.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-100 of 169 references · Page 1 of 2

12
Next

CITED BY