Self‐Mixed Biphasic Liquid Metal Composite with Ultra‐High Stretchability and Strain‐Insensitivity for Neuromorphic Circuits

Neuromorphic circuits that can function under extreme deformations are important for various data‐driven wearable and robotic applications. Herein, biphasic liquid metal particle (BMP) with unprecedented stretchability and strain‐insensitivity (ΔR/R0 = 1.4@ 1200% strain) is developed to realize a st...

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Veröffentlicht in:Advanced materials (Weinheim) 2024-04, Vol.36 (16), p.e2310956-n/a
Hauptverfasser: Lee, Do Hoon, Lim, Taesu, Pyeon, Jeongsu, Park, Hyunmin, Lee, Sang‐Won, Lee, Seungkyu, Kim, Wonsik, Kim, Min, Lee, Jeong‐Chan, Kim, Do‐Wan, Han, Seungmin, Kim, Hyoungsoo, Park, Steve, Choi, Yang‐Kyu
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Sprache:eng
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Zusammenfassung:Neuromorphic circuits that can function under extreme deformations are important for various data‐driven wearable and robotic applications. Herein, biphasic liquid metal particle (BMP) with unprecedented stretchability and strain‐insensitivity (ΔR/R0 = 1.4@ 1200% strain) is developed to realize a stretchable neuromorphic circuit that mimics a spike‐based biologic sensory system. The BMP consists of liquid metal particles (LMPs) and rigid liquid metal particles (RLMPs), which are homogeneously mixed via spontaneous solutal‐Marangoni mixing flow during coating. This permits facile single step patterning directly on various substrates at room temperature. BMP is highly conductive (2.3 × 106 S/m) without any post activation steps. BMP interconnects are utilized for a sensory system, which is capable of distinguishing variations of biaxial strains with a spiking neural network, thus demonstrating their potential for various sensing and signal processing applications. Biphasic liquid metal particle (BMP) with two uniformly mixed particles is realized with the Marangoni mixing during the evaporation of co‐solvents. The mixed morphology enables high conductivity and strain‐insensitivity of the film. With BMP as stretchable interconnects, a stretchable multilayer neuromorphic circuit that can distinguish different signals with spike‐based neuromorphic signal processing is demonstrated.
ISSN:0935-9648
1521-4095
DOI:10.1002/adma.202310956