Neuromorphic Computing: Cutting-Edge Advances and Future Directions DOI

Girish U. Kamble,

Chandrashekhar S. Patil,

Vidya V. Alman

et al.

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Neuromorphic computing draws motivation from the human brain and presents a distinctive substitute for traditional von Neumann architecture. systems provide simultaneous data analysis, energy efficiency, error resistance by simulating neural networks. They promote innovations in eHealth, science, education, transportation, smart city planning, metaverse, spurred on deep learning artificial intelligence. However, performance-focused thinking frequently ignores sustainability, emphasizing need harmony. Three primary domains comprise neuromorphic research: computing, which investigates biologically inspired processing alternative algorithms; devices, utilize electronic photonic advancements to fabricate novel nano-devices; engineering, replicates mechanisms using CMOS post-CMOS technological advances. This chapter will discuss current state of approach, established upcoming technologies, material challenges, breakthrough concepts, advanced stage emerging technologies. Along with software algorithmic spike networks (SNNs) algorithms, it cover hardware improvements, such as memristors, synaptic processors. We investigate applications robotics, autonomous systems, edge Internet Things (IoT), sensory systems. In conclusion, future challenges possibilities, major findings new research directions.

Language: Английский

Phytic Acid‐Induced Gradient Hydrogels for Highly Sensitive and Broad Range Pressure Sensing DOI Open Access

Lei Song,

Zhenwu Wang,

Shengjia Chen

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

Abstract Ionic conductive hydrogels have emerged as an excellent option for constructing dielectric layers of interfacial iontronic sensors. Among these, gradient ionic hydrogels, due to the intrinsic elastic modulus, can achieve a wide range pressure responses. However, fabrication with optimal mechanical and sensing properties remains challenge. In this study, it is discovered first that phytic acid (PA) interacts in remarkably distinct manners (i.e., plasticizing effects phase separation) different polymers polyacrylamide polyacrylic acid). This distinctive PA‐polymer interacting mechanism innovatively utilized construct modulus hydrogel through simple precursor solution infiltration approach. The hydrogel‐based flexible sensor not only achieves high sensitivity (9.00 kPa −1 , <15 kPa) broad (from ≈3.7 Pa 1.2 MPa) simultaneously, but also exhibits superior low performance. It successfully recognizes subtle acoustic waves airflow, well moderate speaking finger pressing magnitude plantar pressure. addition, demonstrates remarkable antibacterial biocompatibility. functional performance bioactivity exceptional potential wearable applications.

Language: Английский

Citations

9

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

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 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.

Language: Английский

Citations

1

Bioinspired Intelligent Electronic Skin for Medicine and Healthcare DOI Open Access
Zhirong Liu,

Junhao Hu,

Guozhen Shen

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Abstract Intelligent electronic skin aims to mimic, enhance, and even surpass the functions of biological skin, enabling artificial systems sense environmental stimuli interact more naturally with humans. In healthcare, intelligent is revolutionizing diagnostics personalized medicine by detecting early signs diseases programming exogenous for timely intervention on‐demand treatment. This review discusses latest progress in bioinspired its application healthcare. First, strategies development simulate or human are discussed, focusing on basic characteristics, as well sensing regulating functions. Then, applications health monitoring wearable therapies illustrating potential provide warning Finally, significance bridging gap between emphasized challenges future perspectives summarized.

Language: Английский

Citations

0

Super-elastic and Multifunctional Graphene Aerogels with Multilayer Cross-linked Pore Structure for Dynamic Force Sensing Arrays DOI
Wenting Zhang, Shilin Liu, Xiaoyu Liang

et al.

Carbon, Journal Year: 2025, Volume and Issue: unknown, P. 120105 - 120105

Published: Feb. 1, 2025

Language: Английский

Citations

0

Soft Pressure Sensor Array Inspired by Human Skin for Detecting 3D Robotic Movement DOI
Qiang Zhang, Chunyan Zhang, Haoyu Song

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: 17(9), P. 14604 - 14614

Published: Feb. 19, 2025

3D soft pressure sensors play an important role in precise robotic operations. Multimodal that detect both static and dynamic allow robots to respond accurately real time. Here, we present a sensor array with size of 1.5 cm × composed capacitive piezoelectric units, inspired by Merkel cells Vater-Pacini corpuscles human skin. The tangential force from 0.1 2 N at angles 0°, 45°, 180°, 225° can be resolved analyzing the signals 16 sensors. 4 exhibit consistent stable performance when sensing normal forces 0.5 N. weight objects, as well direction grasping, effectively distinguish weight, size, grasping objects integrated on gripper. Running walking movements are recognized attached robot's knee.

Language: Английский

Citations

0

An Antifreeze Gel as Strain Sensors and Machine Learning Assisted Intelligent Motion Monitoring of Triboelectric Nanogenerators in Extreme Environments DOI Open Access

Delong Han,

Yuting Cai, Xinze Wang

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract Traditional hydrogels tend to freeze and lose performance at low temperatures, limiting their applications. Additionally, need exhibit hysteresis, excellent cycling stability, self‐adhesion ensure high‐quality signal acquisition in complex environments. To address this challenge, study designed a dual‐network gel glycerol (Gly)/H 2 O solvent system. Due the combination of chemical physical crosslinking (hydrogen bonding electrostatic interactions), resulting exhibits skin‐adaptive modulus, high anti‐freezing ability, body temperature‐induced adhesion, electrical performance, making it suitable for wearable sensors temperatures. Based on gel, single‐electrode triboelectric nanogenerator (gel‐TENG) is developed, achieving efficient conversion mechanical energy into energy. Further applied smart insole, successfully enabled real‐time visualization plantar pressure distribution skiing motion recognition. Using random forest machine learning algorithm, system accurately classified 11 basic motions, classification accuracy 97.1%. This advances flexible self‐powered systems, supporting intelligent materials research extreme

Language: Английский

Citations

0

Optimized Magnetization Distribution in Body-Centered Cubic Lattice-Structured Magnetoelastomer for High-Performance 3D Force–Tactile Sensors DOI Creative Commons
Hongfei Hou, Ziyin Xiang, Chunyi Zhi

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2312 - 2312

Published: April 5, 2025

Flexible magnetic tactile sensors hold transformative potential in robotics and human-computer interactions by enabling precise force detection. However, existing face challenges balancing sensitivity, detection range, structural adaptability for sensing force. This study proposed a pre-compressed magnetization method to address these limitations amplifying the magnetoelastic effect through optimized direction distribution of elastomer. A body-centered cubic lattice-structured magnetoelastomer featuring regular deformation under compression was fabricated via digital light processing (DLP) validate this method. Finite element simulations experimental analyses revealed that magnetizing material 60% strain distribution, enhancing force-magnetic coupling. Integrating elastomer with hall sensor, prepared sensor demonstrated low limit (1 mN), wide range (0.001-10 N), rapid response/recovery times (40 ms/50 ms), durability (>1500 cycles). By using machine learning, enabled accurate 3D prediction.

Language: Английский

Citations

0

Development and characterization of self-healing gel temporary plugging agent for well killing DOI Open Access

Yanfei Li,

Tao Wang, Yunguo Liu

et al.

Polish Journal of Chemical Technology, Journal Year: 2025, Volume and Issue: 27(1), P. 23 - 28

Published: March 1, 2025

Abstract A new type of self-healing gel was developed by using acrylamide (AM) and other materials, the effects content PEGDA200 PEGDA400 on mechanical properties were compared. The results showed that adding to self-repairing significantly improved performance composite gel. When in 0.2%, rheological property after repair 109.4% before repair, compressive 95.2% adhesive increased 36.8%, strength 92.4% repair. 105.8% maximum adhesion could be 17.8%.

Language: Английский

Citations

0

Self-Powered Single Multifunctional Tactile Sensor for Simultaneous Detection of Dynamic and Static Pressure and Temperature Inspired by Skin Sensory Functions DOI

Ey-In Lee,

Hee-Jin Ko,

Jongbaeg Kim

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110984 - 110984

Published: April 1, 2025

Language: Английский

Citations

0

The structure, material and performance of multi-functional tactile sensor and its application in robot field: A review DOI
Tianwei Liang, Zirui Liu, Hao Zhang

et al.

Materials Today, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0