Results 151 to 160 of about 57,086 (264)

Fabrication of Fibers With Complex Features Using Thermal Drawing of 3D‐Printed Preforms

open access: yesAdvanced Materials Technologies, EarlyView.
3D printing enables rapid fabrication of macroscale polymer preforms with complex geometries. Thermal drawing then scales these structures into long fibers while preserving micron‐scale cross‐sectional features. This workflow provides a fast, low‐cost route to functional fibers with tailored geometries and material combinations for catheter, robotic ...
Ali Anil Demircali   +4 more
wiley   +1 more source

3D‐Printed Corneal Substitutes: Materials, Fabrication, and Preclinical Progress

open access: yesAdvanced Materials Technologies, EarlyView.
Successful clinical translation of 3D‐printed corneal substitutes relies on the interplay between the bioink properties, cellular component, and the fabrication process. These factors influence the critical properties of the construct, including optical transparency, mechanical stability, suture retention, that ultimately govern long‐term stromal ...
Shadi Moshayedi   +4 more
wiley   +1 more source

Spheroid‐On‐A‐Drop: A Modular Droplet Microfluidics Platform

open access: yesAdvanced Materials Technologies, EarlyView.
The proposed Spheroid‐on‐a‐Drop platform represents a reproducible and tunable platform for the fabrication of biocompatible GelMA‐based microgels, able to support controlled 3D tumor spheroid culture. Its precise control over droplet dynamics and cell distribution paves the way for advanced applications in tissue modeling, drug screening, and ...
A. Fergola   +8 more
wiley   +1 more source

Microscale holography [PDF]

open access: yesNature Photonics, 2007
openaire   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

open access: yesAdvanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn   +2 more
wiley   +1 more source

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