Results 171 to 180 of about 160,560 (252)

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen   +3 more
wiley   +1 more source

Predictive Quantum Vibrational Spectra through Active Learning 4G-NNPs. [PDF]

open access: yesJ Phys Chem Lett
Faruque MO   +3 more
europepmc   +1 more source

Motion‐ and Field‐Robust Mesoscopic Whole‐Brain T2*$$ {T}_2^{\ast } $$‐Weighted Imaging at 7 and 11.7 T Using Servo Navigation

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 5, Page 2658-2670, May 2026.
ABSTRACT Purpose To mitigate artifacts related to motion and field changes in high‐resolution T2*$$ {T}_2^{\ast } $$‐weighted human brain imaging using servo navigation at ultra‐high fields up to 11.7 T. Methods MR‐based servo navigators were integrated into a segmented 3D‐EPI sequence to allow for prospective correction of involuntary head motion and ...
Matthias Serger   +15 more
wiley   +1 more source

Voltage-Tunable Nonlocal Metasurface for Enhanced Outcoupling of Emission from Quantum Dots. [PDF]

open access: yesNano Lett
Prescott S   +9 more
europepmc   +1 more source

A Two‐Dimensional Deep Learning Scheme With One Predicator Only to Parametrize Global Lightning

open access: yesGeophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract Lightning simulation has long posed significant challenges. This study presents a novel two‐dimensional artificial intelligence‐based global lightning scheme that uses a single predictor, convective available potential energy (CAPE). The new scheme significantly improves global lightning simulation performance, achieving a determination ...
Ming Yin   +10 more
wiley   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Efficient Energy‐Stable Discontinuous Galerkin Scheme for the Non‐Isothermal Cahn–Hilliard–Navier–Stokes Two‐Phase Fluid Flow System

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT In this article, we propose a novel numerical framework for the non‐isothermal Cahn–Hilliard–Navier–Stokes two‐phase flow system, which couples the incompressible Navier–Stokes equations, the Cahn–Hilliard phase‐field equation, and the heat transport equation to capture temperature‐dependent two‐phase flow dynamics.
Guang‐An Zou   +4 more
wiley   +1 more source

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