Results 221 to 230 of about 135,566 (291)

4D Bioprinted Self‐Folding Scaffolds Enhance Cartilage Formation in the Engineering of Trachea

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
A bilayer self‐folding scaffold, triggerable by humidity, is fabricated via 4D bioprinting for trachea engineering. An analytical model is derived to predict its radius of curvature, enabling its scalability. Cartilage progenitor cells seeded on the scaffold perceive scaffold final curvature and react to it, by enhancing the upregulation of pro ...
Irene Chiesa   +4 more
wiley   +1 more source

Automatic Exposure Volumetric Additive Manufacturing

open access: yesAdvanced Materials Technologies, EarlyView.
Tomographic volumetric additive manufacturing (VAM) is resin‐based 3D printing technology, where objects are printed in seconds using volumetric light patterning. Although fast, tomographic VAM struggles to produce repeatable and accurate prints. This work demonstrates an automatic exposure method for tomographic VAM, resulting in commercial‐grade ...
Antony Orth   +10 more
wiley   +1 more source

How to Manufacture Photonic Metamaterials

open access: yesAdvanced Materials Technologies, EarlyView.
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley   +1 more source

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

open access: yesAdvanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim   +9 more
wiley   +1 more source

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

open access: yesAdvanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue   +6 more
wiley   +1 more source

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