Quantum dot-based memristors for information processing and artificial intelligence applications DOI

Daoming Tian,

Chuan Ke, Bai Sun

et al.

Nanoscale, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Research and progress in quantum dot memristors.

Language: Английский

Technology and Integration Roadmap for Optoelectronic Memristor DOI Open Access
Jinyong Wang, Nasir Ilyas,

Yujing Ren

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 36(9)

Published: Sept. 23, 2023

Optoelectronic memristors (OMs) have emerged as a promising optoelectronic Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic devices and systems. These OMs possess range of desirable features including minimal crosstalk, high bandwidth, low power consumption, zero latency, the ability to replicate crucial neurological functions such vision optical memory. By incorporating large-scale parallel synaptic structures, are anticipated greatly enhance high-performance low-power in-memory computing, effectively overcoming limitations von Neumann bottleneck. However, progress in this field necessitates comprehensive understanding suitable structures techniques integrating low-dimensional materials into integrated circuit platforms. This review aims offer overview fundamental performance, mechanisms, design applications, integration roadmap memristors. establishing connections between materials, multilayer memristor units, monolithic circuits, seeks provide insights emerging technologies future prospects that expected drive innovation widespread adoption near future.

Language: Английский

Citations

55

Ligand‐Triggered Self‐Assembly of Flexible Carbon Dot Nanoribbons for Optoelectronic Memristor Devices and Neuromorphic Computing DOI Creative Commons
Lin Ai, Yifei Pei,

Ziqi Song

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(12)

Published: Feb. 20, 2023

Carbon dots (CDs) are widely utilized in sensing, energy storage, and catalysis due to their excellent optical, electrical semiconducting properties. However, attempts optimize optoelectronic performance through high-order manipulation have met with little success date. In this study, efficient packing of individual CDs two-dimensions, the synthesis flexible ribbons is demonstrated technically. Electron microscopies molecular dynamics simulations, show assembly into results from tripartite balance π-π attractions, hydrogen bonding, halogen bonding forces provided by superficial ligands. The obtained stability against UV irradiation heating. offer outstanding as active layer material transparent memristors, developed devices providing data retention capabilities, fast responses. A memristor device a thickness 8 µm shows good capability even after 104 cycles bending. Furthermore, functions effectively neuromorphic computing system integrated storage computation response speed being less than 5.5 ns. These properties create an rapid Chinese character learning capability. This work lays foundation for wearable artificial intelligence.

Language: Английский

Citations

47

Advances in Shell and Core Engineering of Carbonized Polymer Dots for Enhanced Applications DOI
Boyang Wang, Geoffrey I. N. Waterhouse, Bai Yang

et al.

Accounts of Chemical Research, Journal Year: 2024, Volume and Issue: 57(19), P. 2928 - 2939

Published: Sept. 19, 2024

ConspectusCarbon dots (CDs), as a novel type of fluorescent nanocarbon material, attract widespread attention in nanomedicine, optoelectronic devices, and energy conversion/storage due to their excellent optical properties, low toxicity, high stability. They can be classified graphene quantum dots, carbon carbonized polymer (CPDs). Among these, CPDs exhibit tunable structures components that allow fine-tuning making them one the most popular types CDs recent years. However, structural complexity stimulates deep exploration relationship between unique structure luminescent performance. As an organic-inorganic hybrid system, diversity self-limited state cores polymer-hybrid shell layers makes understanding underlying mechanisms structure-property relationships very challenging task. In this context, elucidating composition factors affect properties is vital if enormous potential realized. Achieving controllable with predefined via adoption specific functionalization strategies prized goal current researchers field.In Account, we describe efforts made by our group synthesis, mechanism analysis, regulation, functional applications CPDs, particular emphasis on design core-shell tailored for fields optoelectronics energy. Specifically, through rational selection precursors, optimization reaction conditions, postmodification have demonstrated it possible regulate both core layers, thereby achieving full-spectrum emission, yield, persistent luminescence, thermally activated delayed fluorescence, laser action CPDs. Furthermore, established structure-performance proposed universal strategy synergistic interactions carbon-based surface micronanostructures. addition, unveiled luminescence cross-linked specifically "cross-linking synergistically inducing quantum-state luminescence", which addresses challenge efficient circularly polarized liquid solid phases Subsequently, strong cross-linking, dual-rigidity, ordering preparation methods were introduced, pioneering emission from blue near-infrared wavelengths. Additionally, developed new "confined composite nanocrystals CPDs", leading various high-performance hydrogen evolution catalysts water electrolysis. The not only possessed but also enabled efficiencies field conversion, thus maximizing utilization Finally, discuss important trends CPD research development. Overall, Account summarizes latest advancements years, providing case-studies enable structure-property-performance regulation guiding future expansion application

Language: Английский

Citations

28

Nanomaterials for Flexible Neuromorphics DOI

Guanglong Ding,

Hang Li,

Jiyu Zhao

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(22), P. 12738 - 12843

Published: Nov. 5, 2024

The quest to imbue machines with intelligence akin that of humans, through the development adaptable neuromorphic devices and creation artificial neural systems, has long stood as a pivotal goal in both scientific inquiry industrial advancement. Recent advancements flexible electronics primarily rely on nanomaterials polymers owing their inherent uniformity, superior mechanical electrical capabilities, versatile functionalities. However, this field is still its nascent stage, necessitating continuous efforts materials innovation device/system design. Therefore, it imperative conduct an extensive comprehensive analysis summarize current progress. This review highlights applications neuromorphics, involving inorganic (zero-/one-/two-dimensional, heterostructure), carbon-based such carbon nanotubes (CNTs) graphene, polymers. Additionally, comparison summary structural compositions, design strategies, key performance, significant these are provided. Furthermore, challenges future directions pertaining materials/devices/systems associated neuromorphics also addressed. aim shed light rapidly growing attract experts from diverse disciplines (e.g., electronics, science, neurobiology), foster further for accelerated development.

Language: Английский

Citations

18

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

43

Carbon Dot Based Multicolor Electroluminescent LEDs with Nearly 100% Exciton Utilization Efficiency DOI
Boyang Wang, Hongwei Wang, Yongsheng Hu

et al.

Nano Letters, Journal Year: 2023, Volume and Issue: 23(18), P. 8794 - 8800

Published: July 24, 2023

Carbon dots (CDs) are promising nanomaterials for next-generation lighting and displays due to their tunable bandgap, high photoluminescence quantum yield (PLQY), stability. However, the exciton utilization efficiency (EUE) of CD-based films can only reach 25%, fundamentally limiting application in electroluminescent light-emitting diodes (LEDs). Improving EUE is therefore great significance. Herein, we developed composite containing CDs poly(9-vinylcarbazole) (PVK). The were then used construct a series high-performance LEDs with emission colors covering blue green regions as concentration increased, delivering maximum external current 2.62% 5.11 cd/A, respectively. Theoretical calculations experiments established that excellent performance at low film PLQY was hot effect CDs, achieving nearly 100% EUE. This work provides new design strategies toward LEDs.

Language: Английский

Citations

41

All‐Optically Controlled Retinomorphic Memristor for Image Processing and Stabilization DOI
Bingqi Cai, Yang Huang, Ling-Zhi Tang

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(46)

Published: Sept. 1, 2023

Abstract Image stabilization is a crucial field in machine vision, aiming to eliminate image blurring or distortion caused by the camera object jitter. However, traditional techniques often suffer from drawbacks of requiring complex equipment extensive computing resources, resulting inefficiencies. In contrast, human retina performs highly efficient all‐in‐one system, encompassing detection and processing light stimuli. this study, an all‐optically controlled retinomorphic memristor based on Cs x FA y MA 1‐x‐y Pb(I z Br 1‐z ) 3 proposed, which integrates perception, storage, functions. This exhibits significant advantages stabilization. It capable positively negatively modulating its conductance using specific intensities (11.8 0.9 mW cm −2 , respectively) red (630 nm). To demonstrate effectiveness proposed approach, handwritten digit recognition simulations are conducted. The application stimuli effectively highlights characteristics blurred images. processed images then fed into conductance‐mapped neural network for rapid recognition. Remarkably, rates reach 83.5% after 19 000 iterations, surpassing performance (only 56.2% iterations). These results highlight immense potential memristors as hardware foundation next‐generation systems.

Language: Английский

Citations

28

Carbon dots derived from green jujube as chemosensor for tetracycline detection DOI
Jing Hu,

Shihua Liao,

Yuefeng Bai

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112595 - 112595

Published: March 23, 2024

Language: Английский

Citations

17

Synchronous Regulation of Hydrophobic Molecular Architecture and Interface Engineering for Robust WORM‐Type Memristor DOI
Wenjing Zhang, Yixiang Li, Cheng Zhang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: May 6, 2024

Abstract In the context of human active response to exponentially increasing data volumes, memristors have emerged as a focal point in systematic problem‐solving approaches. Particularly, organic memristors, characterized by excellent scalability, flexibility, and 3D stacking capabilities, shown its tremendous potential innovative electronic applications. However, modulation molecular assembly interface interaction at electrode surface poses challenging task, despite their crucial role determining memristive performance. Herein, collaborative method involving hydrophobic design engineering is proposed generate high‐quality nanofilms with optimal photoelectric electrochemical properties. By subjecting bottom O 2 plasma treatment chemical modification using ionic liquid poly(diallyldimethylammonium) bis(trifluoromethanesulfonyl)imide (PTFSI), compound DN demonstrates exceptional affinity stronger intermolecular interactions surface. Consequently, two‐terminal device array comprising Al/DN@PTFSI/ITO exhibits robust non‐volatile write‐once‐read‐many times (WORM) memory behavior, resulting tripling production yield from 30% 92% along lower threshold voltage 1.5 V, higher ON/OFF current ratio 10 3 stability. This study presents versatile approach optimize film material/electrode interface, thereby accelerating development toward future

Language: Английский

Citations

14

Carbonized polymer dots-based molecular imprinting: An adsorbent with enhanced selectivity for highly efficient recognition and removal of ceftiofur sodium from complex samples DOI
Li Wang,

Lin Liu,

Runan Chen

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 473, P. 134637 - 134637

Published: May 17, 2024

Language: Английский

Citations

9