Results 201 to 210 of about 683,825 (305)

Parallel Electrical Integration of Photo Bio Electrochemical Systems (photo‐BESs): Performance Gains and Load Dependency

open access: yesAdvanced Materials Technologies, EarlyView.
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia   +4 more
wiley   +1 more source

Vat Polymerization 3D Printing for Controlled Drug Release Applications

open access: yesAdvanced Materials Technologies, Volume 11, Issue 11, 5 June 2026.
ABSTRACT Vat polymerization (VP) 3D printing, a light‐based additive manufacturing technique, has emerged as a promising technique for fabricating complex drug delivery systems with high precision and spatial resolution. This layer‐by‐layer manufacturing process enables the creation of intricate geometries and customizable architectures, which are ...
Hafiz Busari   +2 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Some Physicochemical Properties of Creatinekinase

open access: yesJournal of Biological Chemistry, 1960
W A, DACOSTA, F, FRIEDBERG
openaire   +2 more sources

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

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