Results 161 to 170 of about 49,964 (286)

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

Flexible Pressure Sensor With Co‐Optimized Sensitivity and Linearity Based on Gradient Toroidal Microstructures

open access: yesAdvanced Materials Technologies, EarlyView.
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang   +8 more
wiley   +1 more source

Recent Developments in Energy Storage and Conversion Applications of Multifunctional Vanadium Carbides

open access: yesAdvanced Materials Technologies, EarlyView.
This review systematically explains the synthesis, properties, and energy storage and conversion applications of vanadium carbides. We introduce the structural and the synthetic strategies and reviewed recent developments in the material synthesis processes. The emerging applications of vanadium carbides in energy storage and conversion are highlighted.
Swathy B. Saseendran   +2 more
wiley   +1 more source

Process Strategies Enabling Selective Polymer Valorization from Textile Fiber Blends. [PDF]

open access: yesMaterials (Basel)
Smarandache D   +7 more
europepmc   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee   +2 more
wiley   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

Computer Technology and Woven Textile Design / or CAD

open access: yes, 2012
This chapter introduces some key issues regarding the use and role of CAD within the global textiles trading environment, such as: cost, expertise and skills training, impact on the supply chain and development of new products and new market areas.
Sinha, Pammi
core  

Differences in Textile Metal Threads in Croatia Through the Centuries. [PDF]

open access: yesMaterials (Basel)
Šimić K   +3 more
europepmc   +1 more source

Efficiency And Import Penetration On The Productivity Of Textile Industry And Textile Products

open access: yesInternational Research Journal of Business Studies, 2015
Although textile industry and textile products belong to the strategic sub sector of manufacturing industry in Indonesia, they are facing pro-blems on the availability of energy, old production machines, and the flooding of imported products into the domestic market.
openaire   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

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