Results 191 to 200 of about 126,777 (291)
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
3D Pose Estimation Using Virtual Projection Based on 3D Reconstructed Model. [PDF]
Kim JW +5 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Comparative Analysis of Artifact Expression in Zirconia and Graphene Crowns in CBCT Images From Different Systems. [PDF]
Mouzinho-Machado S +5 more
europepmc +1 more source
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou +16 more
wiley +1 more source
Process-Structure Relationships Governing Dimensional Accuracy in Material-Extrusion-Printed PLA-Based Composites. [PDF]
Medruț AA, Linul E.
europepmc +1 more source
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang +9 more
wiley +1 more source
A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformation. [PDF]
Huang TM +4 more
europepmc +1 more source
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source

