N-Doped Graphene/MXene Nanocomposite as a Temperature-Adaptive Neuromorphic Memristor DOI

Lijie Kou,

Rad Sadri, Damilola Momodu

et al.

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: 7(4), P. 3631 - 3644

Published: Feb. 2, 2024

Due to intensive integration and seamless continuous operation, the overheated artificially intelligent (AI) integrated circuit systems will affect operation system's effectiveness, stability, lifetime. Therefore, we proposed a temperature adaptability memristor in silver nanowires (AgNWs)/nanocomposite/indium–tin-oxide structure this study. The nanocomposite is nitrogen-doped graphene/Ti3CNTx MXene blend polyvinylidene fluoride matrix. device has been prepared by using heterostructure nanocomposites with low-cost facile all-solution method. mimicked series of trained behaviors inherent biological synapses, including spike-timing-dependent plasticity, paired-pulse facilitation, short-term potentiation/depression, long-term excitatory postsynaptic currents. In addition, demonstrated significant self-adaptability due involvement homogeneously distributed conductive filament formation ascribed low melting point AgNWs. shows owing excellent thermal conductivity small expansion coefficient graphene/Ti3CNTx. This finding provides viable strategies address critical challenges deploying AI different environments, paving way for development more efficient resilient neuromorphic computing systems.

Language: Английский

Porous crystalline materials for memories and neuromorphic computing systems DOI

Guanglong Ding,

Jiyu Zhao,

Kui Zhou

et al.

Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(20), P. 7071 - 7136

Published: Jan. 1, 2023

This review highlights the film preparation methods and application advances in memory neuromorphic electronics of porous crystalline materials, involving MOFs, COFs, HOFs, zeolites.

Language: Английский

Citations

94

Construction of Tri‐Functional HOFs Material for Efficient Selective Adsorption and Photodegradation of Bisphenol A and Hydrogen Production DOI

Liujun Yang,

Junwei Yuan, Guan Wang

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(28)

Published: April 22, 2023

Abstract This study proposes the construction of porous nanomaterial (HOFs@Fe 3+ ) which anchors non‐noble metal ions Fe onto nanoscale rod‐like hydrogen‐bonded organic frameworks (HOFs) by electrostatic and coordination interactions. The high specific surface area abundance hydrogen‐bond adsorption active sites in pore structure HOFs@Fe facilitate strong interactions with double OH bisphenol A (BPA), resulting highest saturation BPA that has been reported so far (452 mg g ‐1 ). In addition, ordered conjugate stacking framework hydrogen bond variable valence properties create new pathways for efficient separation photogenerated carriers. results show can completely adsorb photodegrade 50 ppm within 20 min, owing to abundant acts both as accelerate mass transfer process catalytic ensure photodegradation be matched synergistically. Meanwhile, efficiency photocatalytic H 2 production reaches 21.55 mmol h co‐catalyst. tri‐functional material capacity, efficiency, activity successfully used solve long‐standing conflict between environment energy.

Language: Английский

Citations

55

Memristor-Based Artificial Chips DOI
Bai Sun, Yuanzheng Chen, Guangdong Zhou

et al.

ACS Nano, Journal Year: 2023, Volume and Issue: 18(1), P. 14 - 27

Published: Dec. 28, 2023

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled a physically integrated core processing unit (CPU) and memory even possesses highly possible multistate electrical behavior, could avoid the von Neumann bottleneck of traditional computing show efficient ability parallel computation high information storage. These advantages position them as potential candidates for future data-centric requirements add remarkable vigor to research next-generation artificial intelligence (AI) systems, particularly those involve brain-like applications. This work provides an overview evolution memristor-based devices, from their initial use in creating synapses neural networks application developing advanced AI systems chips. It offers broad perspective key device primitives enabling special applications view materials, nanostructure, mechanism models. We highlight these demonstrations have field AI, point out existing challenges nanodevices toward chips, propose guiding principle outlook promotion system optimization biomedical field.

Language: Английский

Citations

51

Organic Frameworks Memristor: An Emerging Candidate for Data Storage, Artificial Synapse, and Neuromorphic Device DOI
Zheng Xu, Yixiang Li, Xia Yang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(16)

Published: Jan. 4, 2024

Abstract Memristors have recently become powerful competitors toward artificial synapses and neuromorphic computation, arising from their structural electrical similarity to biological neurons. From the diversity of materials, numerous organic inorganic materials proven exhibit great potential in application memristors. Herein, this work focuses on a class memristors based frameworks (OFs) pay attention most advanced experimental demonstrations. First, typical device structures memristive switching mechanisms are introduced. Second, latest progress OFs‐based is comprehensively summarized, including metal‐organic (MOFs), covalent (COFs), hydrogen‐bonded (HOFs), as well applications data storage, synapses, devices. Finally, future challenges prospects deeply discussed.

Language: Английский

Citations

32

Neuromorphic Nanoionics for Human–Machine Interaction: From Materials to Applications DOI
Xuerong Liu,

Cui Sun,

Xiaoyu Ye

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(37)

Published: Feb. 29, 2024

Abstract Human–machine interaction (HMI) technology has undergone significant advancements in recent years, enabling seamless communication between humans and machines. Its expansion extended into various emerging domains, including human healthcare, machine perception, biointerfaces, thereby magnifying the demand for advanced intelligent technologies. Neuromorphic computing, a paradigm rooted nanoionic devices that emulate operations architecture of brain, emerged as powerful tool highly efficient information processing. This paper delivers comprehensive review developments device‐based neuromorphic computing technologies their pivotal role shaping next‐generation HMI. Through detailed examination fundamental mechanisms behaviors, explores ability memristors ion‐gated transistors to intricate functions neurons synapses. Crucial performance metrics, such reliability, energy efficiency, flexibility, biocompatibility, are rigorously evaluated. Potential applications, challenges, opportunities using HMI technologies, discussed outlooked, shedding light on fusion with

Language: Английский

Citations

17

Advanced construction strategies to obtain nanocomposite hydrogels for bone repair and regeneration DOI Creative Commons
Wang Ding, Yuxiang Ge, Tikai Zhang

et al.

NPG Asia Materials, Journal Year: 2024, Volume and Issue: 16(1)

Published: March 8, 2024

Abstract Bone tissue engineering is pivotal in facilitating bone reconstruction by promoting persistent angiogenesis and osteogenesis. Initially, the hot gel composite hydrogel scaffold technique was employed. However, to address various limitations, numerous structures have since been developed, including osteogenic gellan gels, semi-interpenetrating network hydrogels, photoinduced crosslinking methacrylate supramolecular hydrogels. This review examines mechanisms, formation principles, medical benefits of these structures. In addition, novel bioengineering techniques regulate human growth are expected emerge future. work significantly expedite advancement membranes field repair.

Language: Английский

Citations

16

Artificial self-powered and self-healable neuromorphic vision skin utilizing silver nanoparticle-doped ionogel photosynaptic heterostructure DOI

Xinkai Qian,

Zhang Fa, Xiujuan Li

et al.

Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(1), P. 012602 - 012602

Published: Jan. 1, 2025

Abstract Artificial skin should embody a softly functional film that is capable of self-powering, healing and sensing with neuromorphic processing. However, the pursuit bionic combines high flexibility, self-healability, zero-powered photosynaptic functionality remains elusive. In this study, we report self-powered self-healable vision skin, featuring silver nanoparticle-doped ionogel heterostructure as photoacceptor. The localized surface plasmon resonance induced by light in nanoparticles triggers temperature fluctuations within heterojunction, facilitating ion migration for visual synaptic behaviors. abundant reversible hydrogen bonds endow remarkable mechanical flexibility self-healing properties. We assembled equipped 5 × photosynapse array, memorizing diverse patterns.

Language: Английский

Citations

2

Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System DOI Creative Commons
Cheng Zhang, Mohan Chen,

Yelong Pan

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(16)

Published: April 18, 2023

In the era of big data and artificial intelligence (AI), advanced storage processing technologies are in urgent demand. The innovative neuromorphic algorithm hardware based on memristor devices hold a promise to break von Neumann bottleneck. recent years, carbon nanodots (CDs) have emerged as new class nano-carbon materials, which attracted widespread attention applications chemical sensors, bioimaging, memristors. focus this review is summarize main advances CDs-based memristors, their state-of-the-art synapses, computing, human sensory perception systems. first step systematically introduce synthetic methods CDs derivatives, providing instructive guidance prepare high-quality with desired properties. Then, structure-property relationship resistive switching mechanism memristors discussed depth. current challenges prospects memristor-based synapses computing also presented. Moreover, outlines some promising application scenarios including sensors vision, low-energy quantum computation, human-machine collaboration.

Language: Английский

Citations

41

Solution‐Processed Hydrogen‐Bonded Organic Framework Nanofilms for High‐Performance Resistive Memory Devices DOI Open Access
Xue Yang, Jian Huang, Shuiying Gao

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(47)

Published: Aug. 4, 2023

The integration of hydrogen-bonded organic frameworks (HOFs) into electronic devices holds great promise due to their high crystallinity, intrinsic porosity, and easy regeneration. However, despite potential, the utilization HOFs in remains largely unexplored, primarily challenges associated with fabricating high-quality films. Herein, a controlled synthesis HOF nanofilms smooth surface, good orientation is achieved using solution-processed approach. memristors exhibit outstanding bipolar switching performance low set voltage 0.86 V, excellent retention 1.64 × 104 s, operational endurance 60 cycles. Additionally, these robust display remarkable thermal stability, maintaining even at elevated temperatures up 200 °C. More strikingly, scratched films can be readily regenerated through simple solvent rinsing process, enabling reuse for fabrication new memristors, which difficult achieve traditional resistive materials. mechanism based on reversible formation annihilation conductive filaments revealed. This work provides novel invaluable insights that have significant impact advancing widespread adoption as active layers devices.

Language: Английский

Citations

32

Hydrogen-bonded organic frameworks (HOFs): Multifunctional material on analytical monitoring DOI Open Access
Brij Mohan, Gurjaspreet Singh, Rakesh Kumar Gupta

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 170, P. 117436 - 117436

Published: Nov. 17, 2023

Language: Английский

Citations

32