Results 131 to 140 of about 209,737 (306)
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Unsupervised Transformer Learning for Rapid and High-Quality MRI Data Acquisition
Background: Magnetic resonance imaging (MRI) is of considerable importance due to its wide range of applications in both scientific research and clinical diagnostics. Acquiring high-quality MRI data is of paramount importance.
Yao Sui +4 more
doaj +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source
DenoSR: A high-fidelity super-resolution approach for noisy images
At the forefront of digital image processing, image super-resolution has emerged as a flourishing research area. However, despite remarkable progress, current methods still encounter significant hurdles, particularly when enhancing noisy images.
Zihan Guo +3 more
doaj +1 more source
Variational Multi-Task MRI Reconstruction: Joint Reconstruction,\n Registration and Super-Resolution [PDF]
Veronica Corona +4 more
openalex +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Inspired by the skin‐toughening mechanism of marine sponges, an ion‐orchestrated structural engineering strategy is proposed to regulate the surface microstructure of hydrogel coatings, enabling the in situ formation of a robust armor layer that enhances mechanical integrity and provides multifunctional protection by suppressing fouling attachment and ...
Wenshuai Yang +11 more
wiley +1 more source

