Biomaterials for neuroengineering: Applications and challenges DOI Creative Commons

Huanghui Wu,

E.J. Feng,

Huazong Yin

et al.

Regenerative Biomaterials, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 1, 2025

Abstract Neurological injuries and diseases are a leading cause of disability worldwide, underscoring the urgent need for effective therapies. Neural regaining enhancement therapies seen as most promising strategies restoring neural function, offering hope individuals affected by these conditions. Despite their promise, path from animal research to clinical application is fraught with challenges. Neuroengineering, particularly through use biomaterials, has emerged key field that paving way innovative solutions It seeks understand treat neurological disorders, unravel nature consciousness, explore mechanisms memory brain’s relationship behavior, tissue engineering, interfaces targeted drug delivery systems. These including both natural synthetic types, designed replicate cellular environment brain, thereby facilitating repair. This review aims provide comprehensive overview biomaterials in neuroengineering, highlighting functional across basic practice. covers recent developments biomaterial-based products, 2D 3D bioprinted scaffolds cell organoid culture, brain-on-a-chip systems, biomimetic electrodes brain–computer interfaces. also explores artificial synapses networks, discussing applications modeling microenvironments repair regeneration, modulation manipulation integration traditional Chinese medicine. serves guide role advancing neuroengineering solutions, providing insights into ongoing efforts bridge gap between innovation application.

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

103
Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles DOI Creative Commons
Long Chen, Ming Ren,

Jianxian Zhou

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(33)

Published: Aug. 7, 2024

Artificial neuromorphic devices can emulate dendric integration, axonal parallel transmission, along with superior energy efficiency in facilitating efficient information processing, offering enormous potential for wearable electronics. However, integrating such circuits into textiles to achieve biomimetic perception, and control motion feedback remains a formidable challenge. Here, we engineer quasi-solid-state iontronic synapse fiber (ISF) comprising photoresponsive TiO 2 , ion storage Co-MoS an transport layer. The resulting ISF achieves inherent short-term synaptic plasticity, femtojoule-range consumption, the ability transduce chemical/optical signals. Multiple ISFs are interwoven synthetic neural fabric, allowing simultaneous propagation of distinct optical signals transmitting information. Importantly, IFSs multiple input electrodes exhibit spatiotemporal integration. As proof concept, textile-based multiplexing sensorimotor system is constructed connect fibers artificial muscles, enabling preneuronal sensing postneuronal output coordinated motor muscles. proposed holds promise electronics, soft robotics, biomedical engineering.

Language: Английский

Citations

57
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

56
Optoelectronic Synapses and Photodetectors Based on Organic Semiconductor/Halide Perovskite Heterojunctions: Materials, Devices, and Applications DOI
Ziyi Guo, Junyao Zhang, Xu Liu

et al.

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

Published: July 7, 2023

Abstract Both photodetectors (PDs) and optoelectronic synaptic devices (OSDs) are converting light signals into electrical responses. Optoelectronic based on organic semiconductors halide perovskites have aroused tremendous research interest owing to their exceptional optical/electrical characteristics low‐cost processability. The heterojunction formed between can modify the exciton dissociation/recombination efficiency modulate charge‐trapping effect. Consequently, semiconductor/halide perovskite heterojunctions endow PDs OSDs with high photo responsivity ability simulate functions respectively, making them appropriate for development of energy‐efficient artificial visual systems sensory recognition functions. This article summarizes recent advances in this field. physical/chemical properties preparation methods briefly introduced. Then heterojunctions, as well innovative applications, systematically presented. Finally, some prospective challenges probable strategies future discussed.

Language: Английский

Citations

49
Responsive soft actuators with MXene nanomaterials DOI Creative Commons

Shaoshuai Ma,

Pan Xue,

Yuqi Tang

et al.

Deleted Journal, Journal Year: 2023, Volume and Issue: 2(1)

Published: Dec. 11, 2023

Abstract Compared with traditional rigid actuators, soft actuators exhibit a large number of advantages, including enhanced flexibility, reconfigurability, and adaptability, which motivate us to develop artificial widespread applications. Soft MXene nanomaterials are regarded as highly promising candidates for advancing the development bioinspired robotics consequence their unprecedented physicochemical characteristics, such high electronic conductivity, thermal photothermal conversion capability, abundant surface functional groups. Herein, comprehensive overview recent advancement extensive applications from perspective bioinspiration is provided. First, synthetic methods properties briefly summarized. Subsequently, (including photoresponsive electroresponsive chemoresponsive actuators) sequentially investigated focus on fabrication approaches, actuation properties, underlying mechanisms, At end, future challenges opportunities rapid discussed.

Language: Английский

Citations

48
All‐Photolithography Fabrication of Ion‐Gated Flexible Organic Transistor Array for Multimode Neuromorphic Computing DOI
Xü Liu, Shilei Dai, Weidong Zhao

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(21)

Published: Feb. 22, 2024

Abstract Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials solvents, efficient and reliable all‐photolithography methods scalable manufacturing high‐density OIGT arrays with multimode functions are still missing, especially when all active layers patterned in high‐density. Here, a flexible (9662 devices per cm 2 ) array high yield minimal device‐to‐device variation is fabricated by modified method. The unencapsulated can withstand 1000 times’ bending at radius 1 mm, 3 months’ storage test air, without obvious degradation. More interesting, OIGTs be configured between volatile nonvolatile modes, suitable constructing reservoir computing systems achieve accuracy classifying handwritten digits low training costs. This work proposes promising design electronics affordable systems, encompassing both algorithm aspects.

Language: Английский

Citations

29
Lead‐Free Perovskites and Metal Halides for Resistive Switching Memory and Artificial Synapse DOI

Bo Wei Zhang,

Chun‐Ho Lin, Shruti Nirantar

et al.

Small Structures, Journal Year: 2024, Volume and Issue: 5(6)

Published: April 3, 2024

Memristive devices such as resistive switching memories and artificial synapses have emerged promising technologies to overcome the technological challenges associated with von Neumann bottleneck. Recently, lead halide perovskites drawn substantial research attention candidate material for memristors due their unique optoelectronic properties, solution processability, mechanical flexibility. However, toxicity of lead‐containing species has raised major concerns health environment, which makes it crucial transition from lead‐based lead‐free materials practical applications. Herein, recent progress metal halides including perovskite analogs memory synapse is reviewed. Initially, fundamentals mechanisms are introduced. Next, design, fabrication technique, device performance summarized critically evaluated each species. Finally, toward outlined discussed, some potential directions future study proposed.

Language: Английский

Citations

24
Wearable ion gel based pressure sensor with high sensitivity and ultra-wide sensing range for human motion detection DOI
Ji Eun Hyun, Taehwan Lim,

Seong Hun Kim

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 484, P. 149464 - 149464

Published: Feb. 9, 2024

Language: Английский

Citations

23
Artificial synapse based on a tri-layer AlN/AlScN/AlN stacked memristor for neuromorphic computing DOI

Xinhuan Dai,

Qilin Hua, Chun‐Sheng Jiang

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 124, P. 109473 - 109473

Published: March 9, 2024

Language: Английский

Citations

22
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

22