Recent Developments in Degenerate Higher Order Scalar Tensor Theories
Sign Up to like & getrecommendations! Published in 2024 at "Annalen der Physik"
DOI: 10.1002/andp.202400263
Abstract: Degenerate Higher Order Scalar Tensor (DHOST) theories are the most general scalar‐tensor theories whose Lagrangian depends on the metric tensor and a single scalar field and its derivatives up to second order. They propagate only… read more here.
Keywords: degenerate higher; higher order; tensor; scalar tensor ... See more keywords
Singularity attenuation with quantum‐mechanically revisited metric tensor
Sign Up to like & getrecommendations! Published in 2024 at "Astronomische Nachrichten"
DOI: 10.1002/asna.20240003
Abstract: The space and initial singularities are reexamined in the most reliable solutions to the Einstein's field equations (EFE), that is, the Einstein–Gilbert–Straus (EGS) metric. In discretized Finsler geometry, additional curvatures and thereby geometric structures likely… read more here.
Keywords: singularity attenuation; tensor; quantum mechanically; geometry ... See more keywords
Framelet tensor sparsity with block matching for spectral CT reconstruction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15529
Abstract: PURPOSE Spectral computed tomography (CT) based on the photon-counting detection system has the capability to produce energy-discriminative attenuation maps of objects with a single scan. However, the insufficiency of photons collected into the narrow energy… read more here.
Keywords: tensor sparsity; framelet tensor; tensor; reconstruction ... See more keywords
Mapping prostatic microscopic anisotropy using linear and spherical b‐tensor encoding: A preliminary study
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28856
Abstract: Tensor‐valued diffusion encoding provides more specific information than conventional diffusion‐weighted imaging (DWI), but has mainly been applied in neuroimaging studies. This study aimed to assess its potential for the imaging of prostate cancer (PCa). read more here.
Keywords: mapping prostatic; tensor; prostatic microscopic; microscopic anisotropy ... See more keywords
Susceptibility tensor imaging (STI) of the brain
Sign Up to like & getrecommendations! Published in 2017 at "NMR in Biomedicine"
DOI: 10.1002/nbm.3540
Abstract: Susceptibility tensor imaging (STI) is a recently developed MRI technique that allows quantitative determination of orientation‐independent magnetic susceptibility parameters from the dependence of gradient echo signal phase on the orientation of biological tissues with respect… read more here.
Keywords: imaging sti; susceptibility; tensor imaging; tensor ... See more keywords
Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition.
Sign Up to like & getrecommendations! Published in 2023 at "NMR in biomedicine"
DOI: 10.1002/nbm.4905
Abstract: The acquisition of intravoxel incoherent motion (IVIM) data and diffusion tensor imaging (DTI) data of the brain can be integrated into a single measurement, which offers the possibility to determine orientation-dependent (tensorial) perfusion parameters in… read more here.
Keywords: diffusion; tensor; brain; model ... See more keywords
Variational projection methods for gradient crystal plasticity using Lie algebras
Sign Up to like & getrecommendations! Published in 2017 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.5355
Abstract: Summary A computational method is developed for evaluating the plastic strain gradient hardening term within a crystal plasticity formulation. While such gradient terms reproduce the size effects exhibited in experiments, incorporating derivatives of the plastic… read more here.
Keywords: crystal plasticity; plastic strain; tensor; method ... See more keywords
Tensor decomposition for dimension reduction
Sign Up to like & getrecommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1482
Abstract: Tensor data are data with multiway array structure. They are often very high dimensional and are routinely encountered in many scientific fields. Dimension reduction is the technique of reducing the number of underlying variables for… read more here.
Keywords: decomposition dimension; dimension reduction; tensor decomposition; tensor ... See more keywords
Nonlinear fluctuations in relativistic causal fluids
Sign Up to like & getrecommendations! Published in 2020 at "Journal of High Energy Physics"
DOI: 10.1007/jhep07(2020)064
Abstract: In the Second Order Theories (SOT) of real relativistic fluids, the non-ideal properties of the flows are described by a new set of dynamical tensor variables. In this work we explore the non-linear dynamics of… read more here.
Keywords: tensor; irreducible tensor; fluctuations relativistic; tensor modes ... See more keywords
SYK-like tensor models on the lattice
Sign Up to like & getrecommendations! Published in 2017 at "Journal of High Energy Physics"
DOI: 10.1007/jhep08(2017)083
Abstract: A bstractWe study large N tensor models on the lattice without disorder. We introduce techniques which can be applied to a wide class of models, and illustrate it by studying some specific rank-3 tensor models.… read more here.
Keywords: models lattice; syk like; four point; tensor ... See more keywords
Analysis of the b1 meson decay in local tensor bilinear representation
Sign Up to like & getrecommendations! Published in 2018 at "Journal of High Energy Physics"
DOI: 10.1007/jhep08(2018)179
Abstract: A bstractWe explore the validity of vector meson dominance in the radiative decay of the b1(1235) meson. In order to explain the violation of the vector meson dominance hypothesis in this decay process, we investigate… read more here.
Keywords: vector; meson dominance; tensor; vector meson ... See more keywords