Organic transistors-driven wearable electronics for smart life DOI Creative Commons

Zixuan Liu,

Chengyu Zhang,

Lanyi Xiang

и другие.

Wearable electronics., Год журнала: 2024, Номер 1, С. 211 - 227

Опубликована: Окт. 22, 2024

Язык: Английский

Flexible near-infrared organic photodetectors for emergent wearable applications DOI Creative Commons
Zehao Wang, Simin Cheng, Kenjiro Fukuda

и другие.

Wearable electronics., Год журнала: 2024, Номер 1, С. 53 - 77

Опубликована: Май 13, 2024

With the evolution of Industry 4.0, next-generation wearable devices have come under spotlight, where organic electronics are playing an important role due to their flexible form factor, high performance, and integration capability. Designed conform soft dynamic surfaces, photodetectors (OPDs) integrated arrays stand out for application potential in non-invasive biosensing bio-imaging, with inherent advantages mitigating motion artifacts – a notable limitation traditional, rigid photodetector systems. Leveraging near-infrared (NIR) spectrum's capability deep skin penetration minimal scattering human tissues, NIR OPDs especially capable precise diagnostics enhanced signal quality. The adaptable factor further broadens applications human-environment interaction, marking shift towards more responsive intelligent technologies. This review summarizes latest challenges breakthroughs OPDs, emphasizing effective strategies toward high-performance device units We discuss remaining outlook on vast reshaping our interaction surroundings.

Язык: Английский

Процитировано

15

A Near‐Infrared Retinomorphic Device with High Dimensionality Reservoir Expression DOI Creative Commons

Yan‐Bing Leng,

Ziyu Lv, Shengming Huang

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Окт. 10, 2024

Abstract Physical reservoir‐based reservoir computing (RC) systems for intelligent perception have recently gained attention because they require fewer resources. However, the system remains limited in infrared (IR) machine vision, including materials and physical expression power. Inspired by biological visual systems, study proposes a near‐infrared (NIR) retinomorphic device that simultaneously perceives encodes narrow IR spectral information (at ≈980 nm). The proposed device, featuring core‐shell upconversion nanoparticle/poly (3‐hexylthiophene) (P3HT) nanocomposite channels, enables absorption conversion of NIR into high‐energy photons to excite more photo carriers P3HT. photon‐electron‐coupled dynamics under synergy photovoltaic photogating effects influence nonlinearity high dimensionality RC narrow‐band irradiation. also exhibits multilevel data storage capability (≥8 levels), excellent stability (≥2000 s), durability (≥100 cycles). accurately identifies static dynamic handwritten digit images, achieving recognition accuracies 91.13% 90.07%, respectively. Thus, tackles intricate computations like solving second‐order nonlinear equations with minimal errors (normalized mean squared error 1.06 × 10⁻ 3 during prediction).

Язык: Английский

Процитировано

14

Intrinsically flexible organic phototransistors for bioinspired neuromorphic sensory system DOI Creative Commons

Chengyu Wang,

Yunqi Liu, Yunlong Guo

и другие.

Wearable electronics., Год журнала: 2024, Номер 1, С. 41 - 52

Опубликована: Май 13, 2024

With the development of Human-Computer Interaction and Internet Things applications, bioinspired wearable electronics have gained extensive attention. In view low-cost availability, multifunctional bionic simulation free deformation properties, phototransistor-based intrinsically flexible organic neuromorphic devices arrays become a compelling arena for both academic industrial to realize next-generation intelligent equipment. Recently, rapidly evolving materials sophisticated structural designs enabled such with optical-event-driven operations multi-task parallel processing. multifunctionality simultaneously acquire, compute, adapt vast majority external information, put forward intelligence, artificial vision neuro-prosthetics. this review, we first provide brief overview recent advances in design strategies devices, including field-effect phototransistors electrochemical transistors. Then, analyze emerging optoelectronics their applications. Finally, discuss outlook challenges transistor-based from potential photoactive manufacturability monofunctional devices. The foreseeable evolution towards fully integrated systems is further summarized future optoelectronics.

Язык: Английский

Процитировано

13

High‐Density, Crosstalk‐Free, Flexible Electrolyte‐Gated Synaptic Transistors Array via All‐Photolithography for Multimodal Neuromorphic Computing DOI Creative Commons
Li Yuan, Tingting Zhao,

Junshuai Dai

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract High‐density bio‐electrolyte‐gated synaptic transistors (BEGTs) array are promising for constructing neuromorphic computing architectures. Due to the bulk ion conductivity and crack sensitivity of electrolyte film, patterning is an indispensable route prevent spatial crosstalk improve flexibility device array. However, susceptibility bio‐electrolyte organic solvents poses challenges in developing reliable all‐photolithography techniques fabricating scalable, patterned, high‐density BEGTs This study introduces method that adopts a photo‐crosslinker‐enabled create (11846 devices per cm 2 ) multimodal demonstrates essential behaviors without inter‐device maintains its flexibility, enduring 200 bending cycles at 6 mm radius significant performance degradation. Meanwhile, exhibits behavior, not only successfully mimicking biological visual memory system sensing processing images but also proving highly accurate classifying handwritten digits, making it suitable systems. work offers dependable strategy scalable stable fabrication array, providing valuable insights advancing artificial

Язык: Английский

Процитировано

2

Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems DOI Open Access
Xiangxiang Zhang, Chang-Guang Wang, Xin Pi

и другие.

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.

Язык: Английский

Процитировано

1

Dual‐Mode Semiconductor Device Enabling Optoelectronic Detection and Neuromorphic Processing with Extended Spectral Responsivity DOI
Can Fu, Jiawei Yang, Jiang Wang

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 24, 2024

Abstract High‐performance semiconductor devices capable of multiple functions are pivotal in meeting the challenges miniaturization and integration advanced technologies. Despite inherent difficulties incorporating dual functionality within a single device, high‐performance, dual‐mode device is reported. This integrates an ultra‐thin Al 2 O 3 passivation layer with PbS/Si hybrid heterojunction, which can simultaneously enable optoelectronic detection neuromorphic operation. In mode 1, efficiently separates photo‐generated electron‐hole pairs, exhibiting ultra‐wide spectral response from ultraviolet (265 nm) to near‐infrared (1650 wavelengths. It also reproduces high‐quality images 256 × pixels, achieving Q ‐value as low 0.00437 µW cm − at light intensity 8.58 . Meanwhile, when 2, as‐assembled typical persistent photoconductivity (PPC) behavior act achieve 96.5% accuracy classifying standard digits underscoring its efficacy temporal information processing. believed that present dual‐function potentially advance multifunctionality chips for intelligence applications.

Язык: Английский

Процитировано

5

Hardware‐Feasible and Efficient N‐Type Organic Neuromorphic Signal Recognition via Reservoir Computing DOI
Riping Liu, Yifei He, Xiuyuan Zhu

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 22, 2024

Abstract Organic electrochemical synaptic transistors (OESTs), inspired by the biological nervous system, have garnered increasing attention due to their multifunctional applications in neuromorphic computing. However, practical implementation of OESTs for signal recognition—particularly those utilizing n‐type organic mixed ionic‐electronic conductors (OMIECs)—still faces significant challenges at hardware level. Here, a state‐of‐the‐art small‐molecule OEST integrated within physically simple and feasible reservoir‐computing (RC) framework temporal recognition is presented. This integration achieved leveraging adjustable properties n‐OEST, which exhibits tunable nonlinear short‐term memory, transitioning from volatility nonvolatility, demonstrating adaptive specificity. Additionally, nonvolatile offers 256 conductance levels wide dynamic range (≈147) long‐term potentiation/depression (LTP/LTD), surpassing previously reported n‐OESTs. By combining volatile n‐OESTs as reservoirs with single‐layer perceptron readout composed n‐OEST networks, this physical RC system achieves substantial accuracy both handwritten‐digit images (94.9%) spoken digit (90.7%), along ultrahigh weight efficiency. Furthermore, demonstrates outstanding (98.0%) grouped sleep monitoring, specifically snoring recognition. reliable pathway OMIEC‐driven computing presented advance bioinspired hardware‐based world.

Язык: Английский

Процитировано

5

In-Sensor Organic Electrochemical Transistor for the Multimode Neuromorphic Olfactory System DOI
Yifeng Yin, Tongrui Sun, Lu Wang

и другие.

ACS Sensors, Год журнала: 2024, Номер 9(8), С. 4277 - 4285

Опубликована: Авг. 5, 2024

The olfactory system is one of the six basic sensory nervous systems. Developing artificial systems challenging due to complexity chemical information decoding and memory. Conventional sensors can convert signals into electric decode gas but they lack memory functions. Additional storage processing units would significantly increase power consumption devices, especially for portable wearable devices. Here, an olfactory-inspired in-sensor organic electrochemical transistor (OI-OECT) proposed, with integrated functions decoding, tunable level, selectivity vapor sensing. ion-gel electrolyte endows OI-OECT function levels a low operating voltage. Typical synaptic behaviors, including inhibitory postsynaptic current paired-pulse facilitations, are successfully achieved. Importantly, level be effectively modulated by gate voltages (0 -1 V), which realized transformation volatile nonvolatile Furthermore, benefiting from recognition multiple gases ability detect cumulative damage caused gases, demonstrated early warning targeting leakage detection two (NH

Язык: Английский

Процитировано

4

Two‐Dimensional MoS2‐Based Anisotropic Synaptic Transistor for Neuromorphic Computing by Localized Electron Beam Irradiation DOI Creative Commons
Lei Liu, Peng Gao, Mengru Zhang

и другие.

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

Abstract Neuromorphic computing, a promising solution to the von Neumann bottleneck, is paving way for development of next‐generation computing and sensing systems. Axon‐multisynapse systems enable execution sophisticated tasks, making them not only desirable but essential future applications in this field. Anisotropic materials, which have different properties directions, are being used create artificial synapses that can mimic functions biological axon‐multisynapse However, restricted variety unadjustable conductive ratio limit their applications. Here, it shown anisotropic be achieved on isotropic materials with externally localized doping via electron beam irradiation (EBI) purposefully induced trap sites. By employing along neural networks (ANNs) constructed accomplish variable neuromorphic tasks optimized performance. The method expands device family, illustrating approach has tremendous potentials

Язык: Английский

Процитировано

3

All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing DOI Open Access
Yifei He, Zhaolin Ge, Zhiyang Li

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Окт. 18, 2024

Abstract Wearable near/in‐sensor neuromorphic computing is driving next‐generation human‐artificial intelligence (AI) interface, the Internet of Things, and intelligent robots, with reservoir (RC) playing a pivotal role in advancing AI hardware, yet its potential remains underexplored. Herein, an all‐polymer accumulation‐mode organic electrochemical synaptic transistor (OEST) demonstrated controlled ionic dynamics that can facilitate high‐performance wearable RC while allowing entire recyclability. A microporous glycolated conjugated polymer channel (P3gCPDT‐1gT2) affords current output above mA level at <1 V enables both volatile non‐volatile modes combination soft poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/sorbitol electrodes electrolytes (gelatin/glycerol). Particularly, modulation OESTs as nonlinear dynamic reservoirs are elucidated by tuning applied voltages gel compositions. Moreover, such device exhibits performance preservation over >3000 bending cycles allows convenient recyclability using eco‐friendly solvents. sustainable system be thus established configuring units for data processing nonvolatile weight storage single‐layer perceptron readout. Such simple platform achieves up to 90% accuracy voice recognition tasks under bending. Thus, this work facilitates widespread integration multifunctional electronic hardware implementing information low‐cost, body‐conformable, eco‐benign features.

Язык: Английский

Процитировано

3