Results 101 to 110 of about 12,102 (256)

3D Printed PEDOT:PSS‐Based Lattice Pressure Sensors With Tunable Electromechanical Response

open access: yesAdvanced Materials Technologies, EarlyView.
poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS)‐based architected lattices are fabricated via single‐step Digital Light Processing (DLP) printing for tunable pressure sensing. Structural design variations allow precise control of sensitivity and range, while integrated conductivity eliminates post‐processing.
Ozan Karakaya   +9 more
wiley   +1 more source

Unlocking the Potential of MXene‐Based Electrochemical Biosensors: A Review of Biofunctionalization Strategies and Biosensing Principles

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali   +4 more
wiley   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

open access: yesAdvanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo   +5 more
wiley   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

Material Selection and Geometric Design for Few‐filament Shape Memory Polymer Yarns for Force Generation

open access: yesAdvanced Materials Technologies, EarlyView.
A custom shape memory polymer material selection process relates quantitative application criteria (e.g., compression garment yarns) to material characterization information. The selected materials are manufactured into yarn geometries, which expand the design space by creating structural stress‐strain profiles beyond the nominal material stress‐strain
Michaela Andrews   +2 more
wiley   +1 more source

Flexible 3D Multi‐Material Printing beyond Layer‐by‐Layer Constraints via Sequential Multi‐Printer Fabrication

open access: yesAdvanced Materials Technologies, EarlyView.
We developed a flexible multi‐material printing strategy that employs sequential printing with different printers. This combined use of printers expands the accessible material scope. Moreover, incorporating Xolography as a sequential step enables support‐free, contactless printing, thereby enhancing structural design flexibility beyond conventional ...
Kun Zhou, Cyrille Boyer
wiley   +1 more source

Next‐Generation Water Treatment With Molybdenum Disulfide: Dual‐Functionality in Pollutant Adsorption and Photocatalysis

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi   +4 more
wiley   +1 more source

Understanding Ionic Flow in Nanofluidic Blind‐Hole Anodic Aluminum Oxide (AAO) Membranes for Osmotic Energy Generation

open access: yesAdvanced Materials Technologies, EarlyView.
Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu   +6 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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