Results 171 to 180 of about 160,560 (252)
Evolution Equations on Co-evolving Graphs: Long-Time Behaviour and the Graph-Continuity Equation. [PDF]
Carrillo JA, Esposito A, Mikolás L.
europepmc +1 more source
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]
Faruque MO +3 more
europepmc +1 more source
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]
Prescott S +9 more
europepmc +1 more source
A Two‐Dimensional Deep Learning Scheme With One Predicator Only to Parametrize Global Lightning
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
Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]
Zimmermann P.
europepmc +1 more source
Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net
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
Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
A J Al-Shatrah M, Sabah Hussein M.
europepmc +1 more source
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

