Results 181 to 190 of about 1,234,774 (270)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Growth‐Like Swelling of 2D Precursors for Efficient Fabrication of Complex 3D Microstructures

open access: yesAdvanced Science, EarlyView.
The growth‐like swelling process fills photocured polymers into the elastomeric microstructures, inducing a significant swelling deformation of microstructures that can be maintained in the absence of solvents. The growth‐like swelling process breaks through the dependence of swelling deformation on the solvents, thereby expanding the application of 3D
Xinkai Zhu   +13 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Nonrelativistic Spin Current Generated Unconventional Spin Hall Magnetoresistance in Altermagnetic RuO2

open access: yesAdvanced Science, EarlyView.
It is reported that the unconventional spin Hall magnetoresistance generated from nonrelativistic spin currents in RuO2 is capable of accurately detecting spin current polarization and disentangling the T̂$\hat{T}$‐odd and T̂$\hat{T}$‐even components of a spin current.
Chang Pan   +10 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy