Results 91 to 100 of about 21,388 (184)
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL +3 more
europepmc +1 more source
Effect of Field Line Torsion on the Polarization of ULF Waves
Abstract In this paper we suggest a simple modification of the dipole magnetic field which introduces field‐aligned currents and torsion to the field lines. The resulting field lines are not contained in the meridional planes and have resemblance to the geomagnetic field lines in the dawn and dusk flanks of the magnetosphere. We analyze polarization of
K. Kabin, A. W. Degeling, R. Rankin
wiley +1 more source
QEKI: A Quantum-Classical Framework for Efficient Bayesian Inversion of PDEs. [PDF]
Yong J, Tang S.
europepmc +1 more source
ABSTRACT Background A cut‐point approach to classifying children's language abilities uses a specific threshold to determine whether an individual falls into a particular group, such as children with ‘typically developing language’ or ‘language difficulties.’ This method has been frequently used in longitudinal research to track language during the ...
Anna Louise Taylor +6 more
wiley +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Berger S, Hosters N, Möller M.
europepmc +1 more source
ABSTRACT Background Schizophrenia is characterized by positive, negative, and cognitive symptoms. Current pharmacological treatments often fail to address cognitive deficits. In this review of clinical trials, we aim to identify studies that explore neurobiological (non‐psychological) strategies to address Cognitive Impairment Associated with ...
Bahareh Peyrovian +3 more
wiley +1 more source
A primer on variational inference for physics-informed deep generative modelling. [PDF]
Glyn-Davies A +4 more
europepmc +1 more source
Efficient image segmentation using partial differential equations and morphology
J. Weickert
semanticscholar +1 more source
Quantum Time‐Marching Algorithms for Solving Linear Transport Problems Including Boundary Conditions
ABSTRACT This article presents the first complete application of a quantum time‐marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities are problem intrinsic. The method adapts the linear combination of unitaries algorithm to block encode the diffusive dynamics, while ...
Sergio Bengoechea +2 more
wiley +1 more source

