SinoGreenTech Academic Portal
Official PDF TranslationSCIENCE CHINA Materials

Flexible Neuromorphic Electronics: From Synaptic Devices Toward Sensing-Memory-Computing Circuits

Authors: An Zhao; Yanran Li; Honglin Song; Kaiyun Gou; Rong Lu; Cancan Lu; Jie Jiang

DOI: 10.1007/s40843-025-4002-8Status: Verified Translated Edition
Sponsored AdvertisementAd Placement Area
reCAPTCHA Bot Shield Active

Preparing Secure Academic Download

Verifying human reader & generating high-resolution document...

Verifying Document Integrity15s remaining
← Back to Article
Protected by Google reCAPTCHA v3.PrivacyTerms
Sponsored ContentAdSense In-Feed Ad Slot

Key Findings in This Report

• • Flexible neuromorphic devices emulate synaptic functions with ultralow power consumption, essential for battery-powered wearables; specific power figures are not provided in the excerpt, but the abstract emphasizes ultralow power as a key advantage. • • The review highlights integration of sensing, memory, and computing in flexible systems, addressing the memory wall bottleneck of von Neumann architectures; this is critical for real-time processing of unstructured sensory data in IoT and edge devices. • • Heterogeneous integration strategies are advancing toward genuinely integrated systems, enabling conformal attachment to biological tissue; this is crucial for stable long-term operation in health monitoring and brain-computer interfaces. • • The review identifies key challenges including scalability and standardization, which must be overcome for commercial viability; the lack of standardized metrics hinders comparison across studies and industrial adoption.