Results 251 to 260 of about 7,335,770 (340)

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

3D Printing of Highly Dense and Translucent Zirconia Parts for Dental Applications: Effect of Filament Overlapping

open access: yesAdvanced Materials Technologies, EarlyView.
This study formulated a 5Y‐PSZ zirconia paste for extrusion‐based additive manufacturing via direct ink writing, producing dense ceramic structures for dental applications. A colloidal approach with 47 vol% nanometric powder and tailored additives optimized rheology and printability.
Juliana de Freitas Gouveia Silva   +5 more
wiley   +1 more source

An International Examination of Skin Concerns Impacting Self-Confidence Among 5,138 Males. [PDF]

open access: yesActa Derm Venereol
Flament F   +8 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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