Results 161 to 170 of about 9,965 (268)

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 2, Page 892-907, August 2026.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel   +10 more
wiley   +1 more source

Freeform Mode-Engineered Metasurfaces. [PDF]

open access: yesNano Lett
Jiang Z   +8 more
europepmc   +1 more source

Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation

open access: yesProtein Science, Volume 35, Issue 8, August 2026.
Abstract Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite the critical importance of these molecular alterations, existing computational models often lack interpretability and fail to integrate essential physicochemical interactions.
Yiming Ren   +4 more
wiley   +1 more source

Perturbative Analytical Construction of Bowen–York Initial Data for Binary Black Holes up to Third Order in Spin and Linear Momentum

open access: yesFortschritte der Physik, Volume 74, Issue 8, August 2026.
ABSTRACT We analytically construct initial data for binary black hole systems by solving the Einstein constraint equations within the Bowen–York framework. Allowing for arbitrarily oriented linear momenta and spins, we obtain a perturbative solution of the vacuum Hamiltonian constraint up to third order in the source parameters. Our solution explicitly
Leyla Ogurol, Tore Boybeyi, Bayram Tekin
wiley   +1 more source

Gradient‐Free Online Learning of Subgrid‐Scale Dynamics With Neural Emulators

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract In this paper, we propose a generic algorithm to train machine learning‐based subgrid parametrizations online, that is, with a posteriori loss functions, but for non‐differentiable numerical solvers. The proposed approach leverages a neural emulator to approximate the reduced state‐space solver, which is then used to allow gradient propagation
H. Frezat   +3 more
wiley   +1 more source

Imaging Near‐Surface Bedrock Fracturing and Fluid Pathways Using Seismic Attenuation and Velocity From Viscoacoustic Full‐Waveform Inversion of Refraction Data

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Seismic attenuation provides sensitivity to fracture density, fluid saturation, and pore geometry that complements velocity, enabling quantitative imaging of fracture architecture and associated fluid‐pathways in near‐surface bedrock. Yet high‐resolution attenuation models remain rare in refraction studies due to amplitude‐fidelity and ...
Donggeon Kim, Guangchi Xing, Tieyuan Zhu
wiley   +1 more source

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