Results 231 to 240 of about 36,758 (316)

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

High‐Performance Piezoelectric Nanogenerators Based on Wurtzite BeO Nanowire Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
This study demonstrates high‐performance piezoelectric nanogenerators based on 1D BeO nanowire arrays. The BeO nanowires exhibit a high piezoelectric coefficient (∼15.8 pm V−1) and deliver an output voltage of ∼26.1 V and power density of ∼0.32 µW cm−2.
Yoonseo Jang   +7 more
wiley   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

open access: yesAdvanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le   +4 more
wiley   +1 more source

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

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

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