Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 472, P. 144700 - 144700
Published: July 22, 2023
Language: Английский
Nano Energy, Journal Year: 2023, Volume and Issue: 111, P. 108398 - 108398
Published: March 30, 2023
Language: Английский
Citations
68
ACS Applied Materials & Interfaces, Journal Year: 2023, Volume and Issue: 15(4), P. 5420 - 5431
Published: Jan. 23, 2023
Since memristors as an emerging nonlinear electronic component have been considered the most promising candidate for integrating nonvolatile memory and advanced computing technology, in-depth reveal of memristive mechanism realization hardware fabrication facilitated their wide applications in next-generation artificial intelligence. Flexible shown great prospects wearable electronics skin (e-skin), but research on physical is still lacking. Here, a flexible device with Ag/HfOx/Ti/PET crossbar structure was fabricated, remarkable analog switching characteristic similar to synaptic behavior observed. Through detailed data fitting analysis, it confirmed that characteristics are mainly caused by carrier tunneling. Furthermore, properties Ag/HfOx/Ag/PET can be attributed conductive filaments formed redox reaction active metal Ag. Finally, interfacial barrier extracted Arrhenius diagram energy band diagram, which drawn clearly demonstrate conduction charge trapping device. Therefore, HfOx-based memristor stable performance lays foundation cutting-edge smart e-skin.
Language: Английский
Citations
53
Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(42)
Published: June 23, 2023
Abstract The booming development of artificial intelligence (AI) requires faster physical processing units as well more efficient algorithms. Recently, reservoir computing (RC) has emerged an alternative brain‐inspired framework for fast learning with low training cost, since only the weights associated output layers should be trained. Physical RC becomes one leading paradigms computation using high‐dimensional, nonlinear, dynamic substrates. Among them, memristor appears to a simple, adaptable, and constructing they exhibit nonlinear features memory behavior, while memristor‐implemented neural networks display increasing popularity towards neuromorphic computing. In this review, systems from following aspects: architectures, materials, applications are summarized. It starts introduction structures that can simulated blocks. Specific interest then focuses on behaviors memristors based various material systems, optimizing understanding relationship between relaxation which provides guidance references building coped on‐demand application scenarios. Furthermore, recent advances in memristor‐based surveyed. end, further prospects system view envisaged.
Language: Английский
Citations
45
Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 490, P. 151874 - 151874
Published: May 3, 2024
Language: Английский
Citations
26
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(26)
Published: Feb. 28, 2024
Abstract The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and cognitive behavior toward external stimuli, providing a promising direction for the future development of artificial intelligence industry. In this work, Zn‐TCPP (TCPP: tetrakis (4‐carboxyphenyl) porphyrin) based memristor with ultra‐low both operating voltage (≈80 mV) power consumption (0.39 nW) that simulates typical synaptic plasticities, under continuously adjustable pulses (50 mV). properties are well maintained even when bending 1000 times at radius 5 mm. Furthermore, bionic sensing integrated cotton fibre piezoresistive sensor can remember pressure deformation current, thus simulate learning‐forgetting‐relearning characteristics mechanical stimuli (power supply = 100 Especially, achieves high recognition rate 97% gestures through self‐built datasets neural network calculations remains level influence 10% Gaussian noise (80%) mm state (91%). Consequently, ultralow‐power shows great potential in field multiple modules, paving way low‐power robots future.
Language: Английский
Citations
22
Advanced Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 19, 2025
Abstract Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro‐inspired sensing and computing electronics, artificial sensory neurons detect process external stimuli must be integrated with central nervous capable of parallel computation. In near‐sensor computing, synaptic devices, sensors are used to receptors, respectively. contrast, in in‐sensor a single multifunctional device serves as both the receptor neuron. Bio‐inspired efficiently through data structuring techniques, significantly reducing volume enabling extension applications systems. construct near‐ it is crucial develop synapses replicate functionalities. Additionally, exhibit high mechanical flexibility integration density. This review addresses research on flexible bio‐inspired systems, classified into computing. It covers fundamental aspects, including processes, required components, structures each component, well Finally, offers perspectives future directions electronics connected next‐generation Internet Things.
Language: Английский
Citations
4
Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 964 - 964
Published: Feb. 5, 2025
Flexible tactile sensors are widely used in aerospace, medical and health monitoring, electronic skin, human–computer interaction, other fields due to their unique advantages, thus becoming a research hotspot. The goal is develop flexible sensor characterized by outstanding sensitivity, extensive detection range linearity, elevated spatial resolution, commendable adaptability. Among several strategies like capacitive, piezoresistive, triboelectric sensors, etc., we focus on piezoelectric because of self-powered nature, high quick response time. These can respond wide dynamic mechanical stimuli turn them into measurable electrical signals. This makes it possible accurately detect objects, including shapes textures, for sense touch real work encapsulates current advancements focusing enhanced material properties, optimized structural design, improved fabrication techniques, broadened application domains. We outline the challenges facing provide inspiration guidance future development.
Language: Английский
Citations
3
Advanced Electronic Materials, Journal Year: 2022, Volume and Issue: 9(1)
Published: Oct. 30, 2022
Abstract Humanoid robots, intelligent machines resembling the human body in shape and functions, cannot only replace humans to complete services dangerous tasks but also deepen own understanding of mimicking process. Nowadays, attaching a large number sensors obtain more sensory information efficient computation is development trend for humanoid robots. Nevertheless, due constraints von Neumann‐based structures, robots are facing multiple challenges, including tremendous energy consumption, latency bottlenecks, lack bionic properties. Memristors, featured with high similarity biological elements, play an important role nervous system. The memristor‐based system allows efficiency sensing properties, which similar properties Herein, this article first reviews thoroughly, structures functions. applications systems introduced, difficulties that need be overcome put forward, future prospects discussed. This review can hopefully provide evolutionary perspective on systems.
Language: Английский
Citations
68
ACS Nano, Journal Year: 2023, Volume and Issue: 17(13), P. 12563 - 12572
Published: May 15, 2023
The two-dimensional layered material CuInP2S6 (CIPS) has attracted significant research attention due to its nontrivial physical properties, including room-temperature ferroelectricity at the ultrathin limit and substantial ionic conductivity. Despite many efforts control conductance develop electronic devices, such as memristors, improving stability of these devices remains a challenge. This work presents highly stable threshold-switching device based on Cu/CIPS/graphene heterostructure, achieved after comprehensive investigation activation Cu's exhibits exceptional performance, good cycling endurance, high on/off ratio up 104, low operation voltages, an ultrasmall subthreshold swing less than 1.8 mV/decade for resistance-switching process. Through temperature-dependent electrical Raman spectroscopy measurements, resistive-switching mechanism is interpreted with drifting diffusion model Cu ions under electric field, rather conventional conducting filament mechanism. These results make ferroionic CIPS promising candidate information storage demonstrating compelling approach achieving high-performance memristor devices.
Language: Английский
Citations
43
Advanced Materials, Journal Year: 2023, Volume and Issue: 36(4)
Published: Nov. 7, 2023
The practical implementation of memristors in neuromorphic computing and biomimetic sensing suffers from unexpected temporal spatial variations due to the stochastic formation rupture conductive filaments (CFs). Here, biocompatible silk fibroin (SF) is patterned with an on-demand nanocone array by using thermal scanning probe lithography (t-SPL) guide confine growth CFs silver/SF/gold (Ag/SF/Au) memristor. Benefiting high fabrication controllability, cycle-to-cycle (temporal) standard deviation set voltage for structured memristor significantly reduced ≈95.5% (from 1.535 0.0686 V) device-to-device (spatial) also 0.0648 V. Besides, statistical relationship between structural design resultant performance confirmed, optimizing at small operation (≈0.5 current (100 nA), ultrafast switching speed (sub-100 ns), large on/off ratio (10
Language: Английский
Citations
28