Halide Perovskites‐Based Diffusive Memristors for Artificial Mechano‐Nociceptive System
Source abstract
Abstract
Abstract Numerous efforts for emulating organ systems comprised of multiple functional units have driven substantial advancements in bio‐realistic electronics and systems. The resistance change behavior observed in diffusive memristors shares similarities with the potential change in biological neurons. Here, the diffusive threshold switching phenomenon in Ag‐incorporated organometallic halide perovskites is utilized to demonstrate the functions of afferent neurons. Halide perovskites‐based diffusive memristors show a low threshold voltage of ≈0.2 V with little variation, attributed to the facile migration of Ag ions uniformly dispersed within the halide matrix. Based on the reversible and reliable volatile threshold switching, the memristors successfully demonstrate fundamental nociceptive functions including threshold firing, relaxation, and sensitization. Furthermore, to replicate the biological mechano‐nociceptive phenomenon at a system level, an artificial mechano‐nociceptive system is built by integrating a diffusive memristor with a force‐sensing resistor. The presented system is capable of detecting and discerning the detrimental impact caused by a heavy steel ball, effectively exhibiting the corresponding sensitization response. By further extending the single nociceptive system into a 5 × 5 array, successful stereoscopic nociception of uneven impulses is achieved in the artificial skin system through array‐scale sensitization. These results represent significant progress in the field of bio‐inspired electronics and systems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Conducting polymers and applications · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering Research Institute of Advanced Materials Seoul National University Seoul 08826 Republic of Korea
Department of Electrical and Computer Engineering University of Southern California Los Angeles CA 90089 USA
Advanced Institute of Convergence Technology Seoul National University Suwon 16229 Republic of Korea
Funding
National Research Foundation of Korea · Ministry of Science and ICT, South Korea
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