Bio‐Inspired Dynamically Morphing Microelectronics toward High‐Density Energy Applications and Intelligent Biomedical Implants

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(26)

Published: Feb. 25, 2024

Choreographing the adaptive shapes of patterned surfaces to exhibit designable mechanical interactions with their environment remains an intricate challenge. Here, a novel category strain-engineered dynamic-shape materials, empowering diverse multi-dimensional shape modulations that are combined form fine-grained microarchitectures is introduced. Using micro-origami tessellation technology, heterogeneous materials provided strategic creases featuring stimuli-responsive micro-hinges morph precisely upon chemical and electrical cues. Freestanding multifaceted foldable packages, auxetic mesosurfaces, morphable cages three forms demonstrated herein these complex 4-dimensional (4D) metamaterials. These systems integrated in dual proof-of-concept bioelectronic demonstrations: soft supercapacitor enhancing its power density (≈108 mW cm

Language: Английский

---

Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques

Signals, Journal Year: 2024, Volume and Issue: 5(3), P. 476 - 493

Published: July 26, 2024

The development of robust circuit structures remains a pivotal milestone in electronic device research. This article proposes an integrated hardware–software system designed for the acquisition, processing, and analysis surface electromyographic (sEMG) signals. analyzes sEMG signals to understand muscle function neuromuscular control, employing convolutional neural networks (CNNs) pattern recognition. electrical analyzed on healthy unhealthy subjects are acquired using meticulously developed featuring biopotential acquisition electrodes. captured database extracted, classified, interpreted by application CNNs with aim identifying patterns indicative problems. By leveraging advanced learning techniques, proposed method addresses non-stationary nature recordings mitigates cross-talk effects commonly observed interference sensors. integration AI algorithm signal enhances qualitative outcomes eliminating redundant information. reveals their effectiveness accurately deciphering complex data from signals, problems high precision. paper contributes landscape biomedical research, advocating computational techniques unravel physiological phenomena enhance utility analysis.

Language: Английский

---

Advanced Neuromorphic Applications Enabled by Synaptic Ion‐Gating Vertical Transistors

Advanced Science, Journal Year: 2024, Volume and Issue: 11(27)

Published: May 17, 2024

Bioinspired synaptic devices have shown great potential in artificial intelligence and neuromorphic electronics. Low energy consumption, multi-modal sensing recording, multifunctional integration are critical aspects limiting their applications. Recently, a new device architecture, the ion-gating vertical transistor (IGVT), has been successfully realized timely applied to perform brain-like perception, such as vision, touch, taste, hearing. In this short time, IGVTs already achieved faster data processing speeds more promising memory capabilities than many conventional devices, even while operating at lower voltages consuming less power. This work focuses on cutting-edge progress of IGVT technology, from outstanding fabrication strategies design realization low-voltage multi-sensing for artificial-synapse The fundamental concepts IGVTs, signal processing, transduction, plasticity, multi-stimulus perception discussed comprehensively. contribution draws special attention development optimization flexible sensor technologies presents roadmap future high-end theoretical experimental advancements research that mostly achievable by IGVTs.

Language: Английский

---

Microstructure-modulated conductive filaments in Ruddlesden-Popper perovskite-based memristors and their application in artificial synapses

Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101708 - 101708

Published: March 1, 2025

Language: Английский

---

Recent Advances in Wearable Thermal Devices for Virtual and Augmented Reality

Micromachines, Journal Year: 2025, Volume and Issue: 16(4), P. 383 - 383

Published: March 27, 2025

Thermal technologies that effectively deliver thermal stimulation through skin-integrated systems and enable temperature perception via the activation of cutaneous thermoreceptors are key to enhancing immersive experiences in virtual augmented reality (VR/AR) multisensory engagement. However, recent advancements commercial adoption have predominantly focused on haptic rather than technology. This review provides an overview wearable devices (WTDs) designed reconstruct artificial sensations for VR/AR applications. It examines parameters, including area, magnitude, duration, with a focus mechanisms thermoreceptor distribution skin. Input power requirements surpassing thresholds discussed based analytical modeling. Material choices WTDs, metal nanowires, carbon nanotubes, liquid metals, thermoelectric devices, passive cooling elements, introduced. The functionalities, device designs, operation modes, fabrication processes, electrical mechanical properties various WTDs analyzed. Representative applications illustrate how flexible, thin spatiotemporal, programmable stimulation. A concluding section summarizes challenges future opportunities advancing skin–integrated systems.

Language: Английский

---

Recent Strategies in Channel Modulation for High-Performance Neuromorphic Computing Based on Electrolyte-Gated Organic Synaptic Transistors

Korean Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

---

Identification of Risk Loci for Radiotherapy-Induced Tinnitus and Hearing Loss Through Integrated Genomic Analysis

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(9), P. 4132 - 4132

Published: April 26, 2025

Radiotherapy-induced hearing impairment significantly affects patients' quality of life, yet its genetic basis remains poorly understood. This study seeks to identify variants associated with radiotherapy-induced tinnitus and loss explore their functional implications. A genome-wide association (GWAS) was conducted single-nucleotide polymorphisms (SNPs) loss. Protein-protein interaction networks enrichment analyses were performed underlying biological pathways. phenome-wide (PheWAS) analysis across five databases examined associations between identified SNPs various phenotypes. The GWAS 97 76 Tinnitus-associated enriched in pathways involving Wnt signaling telomerase RNA regulation, while hearing-loss-associated linked calcium-dependent cell adhesion neurotransmitter receptor regulation. PheWAS revealed significant these hearing-impairment-related metabolic phenotypes, particularly BMI disorders. chromosomal distribution showed concentrated on chromosomes 1, 2, 5, 10. distinct architectures loss, revealing different molecular involved pathogenesis. unexpected phenotypes suggests potential interactions status susceptibility complications. These findings provide insights for developing screening tools targeted interventions prevent or mitigate radiotherapy-related damage.

Language: Английский

---

A Review of Nanowire Devices Applied in Simulating Neuromorphic Computing

Nanomaterials, Journal Year: 2025, Volume and Issue: 15(10), P. 724 - 724

Published: May 11, 2025

With the rapid advancement of artificial intelligence and machine learning technologies, demand for enhanced device computing capabilities has significantly increased. Neuromorphic computing, an emerging computational paradigm inspired by human brain, garnered growing attention as a promising research frontier. Inspired brain’s functionality, this technology mimics behavior neurons synapses to enable efficient, low-power computing. Unlike conventional digital systems, approach offers potentially superior alternative. This article delves into application nanowire materials (and devices) in neuromorphic simulations: First, it introduces synthesis preparation methods materials. Then, analyzes detail key role devices constructing neural networks, especially their advantages simulating functions synapses. Compared with traditional silicon-based material devices, focuses on how can achieve higher connection density lower energy consumption, thereby enabling new types Finally, looks forward potential field future expecting them become force promoting development intelligent extensive prospects fields informatics medicine.

Language: Английский

---

Controlling Long-Term Plasticity in Neuromorphic Computing Through Modulation of Ferroelectric Polarization

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(43), P. 58940 - 58951

Published: Oct. 17, 2024

Electrolyte-gated transistors (EGTs) have significant potential for neuromorphic computing because they can control the number of ions by mimicking neurotransmitters. However, fast depolarization electric double layer (EDL) makes it difficult to achieve long-term plasticity (LTP). Additionally, most research utilizing organic ferroelectric materials has been focused on basic biological functions, and impact nonvolatile memory properties is still lacking. Herein, we present a polyvinylidene fluoride (PVDF)-based ion-gel synaptic device using PVDF poly(vinylidene fluoride-co-hexafluoropropylene) (P(VDF-HFP)) implement LTP through introduction materials. The PVDF-based polymer slows escape rate TFSI anions from electrolyte/channel residual polarization. fabricated devices successfully demonstrate controlling ion adsorption under influence polymers. Furthermore, implements functions including paired pulse facilitation (PPF), high-pass filtering, neurotransmitter control. To validate computing, achieved high recognition rates artificial/convolutional neural network (A/CNN) simulations via sequential desorption polarization with potentiation/depression (LTP/D). This study provides rational strategy caused in dielectric layer.

Language: Английский

---

Using the Transversal Admittance to Understand Organic Electrochemical Transistors

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

The transient behavior of organic electrochemical transistors (OECTs) is complex due to mixed ionic-electronic properties that play a central role in bioelectronics and neuromorphic applications. Some works applied impedance spectroscopy OECTs for understanding transport the frequency-dependent response devices. transversal admittance (drain current vs gate voltage) used sensing However, general theory admittance, until now, has been incomplete. derive model combines electronic motion along channel vertical ion diffusion by insertion from electrolyte, depending on several features as chemical capacitance, coefficient ions, mobility. Based charge conservation equations, it shown produces standard result intercalation systems, while contains parameters hole accumulation channel. spectral shapes drain currents spectra are established reference equivalent circuit models impedances, describe well measurements PEDOT:PSS OECT. New insights provided determination mobility ratio between currents.

Language: Английский

---