Results 211 to 220 of about 128,958 (292)

An Accessible Microfluidic Platform for the Generation of Polarized Brain Organoids

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents an accessible double‐gradient microfluidic device that enables controlled morphogen delivery and spatially polarized differentiation in brain organoids. By integrating a pump‐free design and stable fabrication method, the platform generates dorsal–ventral neuronal asymmetry, offering a reproducible and versatile approach to model ...
Daniel Pérez‐Calixto   +6 more
wiley   +1 more source

Additive Manufacturing of Patient‐Specific Intracranial Aneurysm Cell Culture Models

open access: yesAdvanced Materials Technologies, EarlyView.
Patient‐specific intracranial aneurysm models were fabricated using chocolate moulding, 3D printed water‐soluble cores, and direct resin 3D printing. Moulding PDMS around sacrificial cores made of chocolate or 3D printed water‐soluble resin yielded accurate, expandable, and endothelializable models that outperformed resin‐based approaches.
Chloe M. de Nys   +6 more
wiley   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Self‐Soldering, Stretchable and Self‐Healing Liquid Metal Elastomer Interconnections for Soft Electronics Platforms

open access: yesAdvanced Materials Technologies, EarlyView.
A self‐healing and electrically conductive liquid metal elastomer enables robust self‐soldering of surface mount devices for soft electronics. Photothermally activated conductive pathways, strong pressure‐sensitive adhesion, and stable package‐integrated contacts provide high conductivity and extreme stretchability.
Su Thiri San   +5 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy