Results 221 to 230 of about 112,411 (306)

Advancing Fruit Bioimpedance Monitoring With Sustainable, Soft, And Bio‐Based Electrodes Beyond ECG

Advanced Electronic Materials, EarlyView.
Electrical impedance spectroscopy enables non‐destructive fruit quality monitoring, but conventional ECG and needle electrodes compromise signal stability, fruit physiology, and sustainability. This perspective highlights the transition toward soft, biocompatible, and biodegradable electrode interfaces based on natural substrates, bio‐derived ...
Sundus Riaz, Ahmed Rasheed, Angelo Zanella, Almudena Rivadeneyra, Paolo Lugli, Luisa Petti, Pietro Ibba   +6 more
wiley   +1 more source

Stretchable Energy Storage with Eutectic Gallium Indium Alloy

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A highly stretchable liquid metal‐based electrode is developed via a one‐step process, retaining conductivity and capacitance after mechanical deformation up to 900% strain. The stretchable all‐solid‐state device provides a areal energy density of 43 µWh cm⁻2 after 150% strain.
Adit Gupta, Noah Al‐Shamery, Jian Lv, Gurunathan Thangavel, Jinwoo Park, Daniel Mandler, Pooi See Lee   +6 more
wiley   +1 more source

Wearable intelligent throat enables natural speech in stroke patients with dysarthria. [PDF]

Nat Commun
Tang C, Gao S, Li C, Yi W, Jin Y, Zhai X, Lei S, Meng H, Zhang Z, Xu M, Wang S, Chen X, Wang C, Yang H, Wang N, Wang W, Cao J, Feng X, Smielewski P, Pan Y, Song W, Birchall M, Occhipinti LG.   +22 more
europepmc   +1 more source

Organic Photoelectrochemical Cells Beyond Performance: Interface and Catalyst Engineering for Durability

Advanced Energy Materials, EarlyView.
Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim, Jung Min Ha, Yeonjeong Lee, Seung Won Oh, Wangyeon Lee, Munsu Kwon, Soonyong Lee, Jin Young Kim, Han Young Woo   +8 more
wiley   +1 more source

Improved Polymer Membrane for Textile Zinc-Ion Capacitor. [PDF]

Polymers (Basel)
Yong S, Arumugam S, Beeby SP.
europepmc   +1 more source

Synergistic Bi–Te Antisite Defects and Crystalline‐Amorphous Hybrid Structure Enable Record‐High Thermoelectric Performance in Flexible Bi2Te2.7Se0.3 Films

Advanced Energy Materials, EarlyView.
Flexible n‐type Bi2Te3 thin films require improved room‐temperature figure of merit (ZT) and mechanical stability. We show that synergistic Bi–Te antisite tuning and crystalline–amorphous hybridization optimizes carrier concentration, mobility, and phonon scattering.
Bo‐Cheng Wang, Xiao‐Lei Shi, Min Hong, Nanhai Li, Tong Lin, Zheng Li, Zhen‐Rong Zheng, Ming Tan, Zhi‐Gang Chen   +8 more
wiley   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Screen-Printable p- and n‑Type Functionalized Graphene Inks for Flexible Textile Thermoelectric Generators. [PDF]

ACS Omega
Newby S, Ahmed MR, Mirihanage W, Fernando A.   +3 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Feasibility assessment of textile electromyography sensors for a wearable telehealth biofeedback system. [PDF]

Wearable Technol
Ju B, Mark JI, Youn S, Ugale P, Sennik B, Adcock B, Mills AC.   +6 more
europepmc   +1 more source