Results 101 to 110 of about 48,284 (242)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced 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, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Enhancing Authalic Latitude Calculation for the rHEALPix DGGS

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Discrete global grid systems (DGGSs) enable georeferencing spatial data directly on the surface of the ellipsoid by linking data to areal cells with unique identifiers.
Frane Gilic, Mateo Gasparovic
doaj   +1 more source

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

Advanced 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, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Semiregular Degenerate Refinement for 3D Discrete Global Grid Systems

, 2020
Recent technological advancements have led to unprecedented amounts of 3D data becoming available about the Earth. With this, technologies that facilitate the efficient integration and management of geospatial data are becoming increasingly important.
openaire   +2 more sources

A Novel Earth-System Spatial Grid Model: ISEA4H-ESSG for Multi-Layer Geoscience Data Integration and Analysis

Applied Sciences
This paper presents a novel Earth-System Stratified Grid (ISEA4H-ESSG) model, designed to address the challenges in multi-layer geoscience data management and analysis.
Yue Ma, Guoqing Li, Long Zhao, Xiaochuang Yao   +3 more
doaj   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

Spherical Gravity Forwarding of Global Discrete Grid Cells by Isoparametric Transformation

Mathematics
For regional or even global geophysical problems, the curvature of the geophysical model cannot be approximated as a plane, and its curvature must be considered.
Shujin Cao, Peng Chen, Guangyin Lu, Yihuai Deng, Dongxin Zhang, Xinyue Chen   +5 more
doaj   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf

Advances in Climate Change Research
The dynamics of the Antarctic ice sheet are key factors affecting global climate change. To project future sea level changes, ice sheet models are developed based on a discrete grid system, which profoundly impacts the accuracy of numerical simulations ...
Qian-Xi Wang, Teng Li, Xiao Cheng, Chen Zhao, Lei Zheng, Qi Liang   +5 more
doaj   +1 more source