Results 91 to 100 of about 10,388,998 (324)

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

Advanced 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, Naroa Lopez‐Larrea, Ali Veysel Tunc, Mikel Rincon‐Iglesias, Karin J. Chen, Katja Nau, Senentxu Lanceros‐Mendez, David Mecerreyes, Miryam Criado‐Gonzalez, Gerardo Hernandez‐Sosa   +9 more
wiley   +1 more source

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

Advanced Materials Technologies, EarlyView.
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente, Raquel Sebastião, Alda Marques, Vitor Sencadas   +3 more
wiley   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Machine Learning-Driven Prediction of Microstructural Evolution and Mechanical Properties in Heat-Treated Steels Using Gradient Boosting

Crystals
Optimizing heat treatment processes requires an understanding of the complex relationships between compositions, processing parameters, microstructures, and properties.
Saurabh Tiwari, Khushbu Dash, Seongjun Heo, Nokeun Park, Nagireddy Gari Subba Reddy   +4 more
doaj   +1 more source

Smart education for smart textiles [PDF]

, 2019
The aim of this paper is to present the main objectives and achievements of the Skills4Smartex project, according to its declared goals. The Erasmus+ project "Smart textiles for STEM training" is funded with support from the European Commission and it is
Blaga, Mirela, Dias, Ana, Dufkova, Petra, Rădulescu, Ion Razvan, Stjepanovič, Zoran, Van Langenhove, Lieva   +5 more
core   +1 more source

Biohybrid Actuators in Compact Arrangement with Embedded X Electrode

Advanced Robotics Research, EarlyView.
Selective control of multimuscle biohybrid actuators is crucial for achieving complex movements of biohybrid robots. In this study, embedded X electrodes are fabricated to selectively control multiple muscles, realizing the robotic finger's bidirectional movements.
Tingyu Li, Minghao Nie, Shoji Takeuchi
wiley   +1 more source

Deep learning in-depth analysis of crystal graph convolutional neural networks: A new era in materials discovery and its applications

Nanotechnology Reviews
Materials informatics is essential for precise material property prediction, enhancing experimental efficiency. Traditional methods like density functional theory are slow and ineffective for complex relationships.
Qureshi Nilam, Bang Jinhong, Doh Jaehyeok   +2 more
doaj   +1 more source

Bayesian sparse modeling for interpretable prediction of hydroxide ion conductivity in anion-conductive polymer membranes

Science and Technology of Advanced Materials: Methods
Anion-conductive polymer membranes have attracted significant attention as solid electrolytes for alkaline fuel cells and electrolyzers. Their ionic conductivity varies depending on the type and arrangement of quaternary ammonium groups, as well as the ...
Ryo Murakami, Kenji Miyatake, Ahmed Mohamed Ahmed Mahmoud, Hideki Yoshikawa, Kenji Nagata   +4 more
doaj   +1 more source

Privacy-preserving model learning on a blockchain network-of-networks. [PDF]

, 2020
ObjectiveTo facilitate clinical/genomic/biomedical research, constructing generalizable predictive models using cross-institutional methods while protecting privacy is imperative.
Gabriel, Rodney A, Kim, Jihoon, Kuo, Tsung-Ting   +2 more
core  

Light‐Driven Quadrupedal Walking Biohybrid Robot With Antagonistic Muscle‐Rings and Inclined Joints

Advanced Robotics Research, EarlyView.
This work presents a light‐driven quadrupedal walking biohybrid robot powered by antagonistic muscle‐rings that achieve alternating walking gait. Optical training improved reproducibility of cultured muscle tissues, while caffeine treatment enhanced contractile force.
Shotaro Saito, Byeongwook Jo, Tomohiro Morita, Shota Noda, Minghao Nie, Shoji Takeuchi   +5 more
wiley   +1 more source