Tootfinder

Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions
Yusuke Mikura, Teppei Okumura, Misao Sasaki
https://arxiv.org/abs/2507.23302 https://

Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions
Gravitational waves (GWs) distort galaxy shapes through the tidal effect, offering a novel avenue to probe the nature of gravity. In this paper, we investigate how extra GW polarizations beyond those predicted by general relativity imprint observable signatures on galaxy shapes. Since galaxy shapes are measured as two-dimensional images projected onto the celestial sphere, we present three-dimensional statistical quantities of the projected tidal tensor sourced by the tensor perturbation. We sh…

Tensor network calculation of boundary and corner magnetization
Roman Krcmar, Jozef Genzor, Andrej Gendiar, Tomotoshi Nishino
https://arxiv.org/abs/2506.17194

Tensor network calculation of boundary and corner magnetization
The Corner Transfer Matrix Renormalization Group (CTMRG) algorithm is modified to measure the magnetization at the boundary of the system, including the corners of the square-shaped lattice. Using automatic differentiation, we calculate the magnetization's first derivative, allowing us to determine the boundary critical exponent $β$ accurately.

Implicit neural representations for accurate estimation of the standard model of white matter
Tom Hendriks, Gerrit Arends, Edwin Versteeg, Anna Vilanova, Maxime Chamberland, Chantal M. W. Tax
https://arxiv.org/abs/2506.15762

Implicit neural representations for accurate estimation of the standard model of white matter
Diffusion magnetic resonance imaging (dMRI) enables non-invasive investigation of tissue microstructure. The Standard Model (SM) of white matter aims to disentangle dMRI signal contributions from intra- and extra-axonal water compartments. However, due to the model its high-dimensional nature, extensive acquisition protocols with multiple b-values and diffusion tensor shapes are typically required to mitigate parameter degeneracies. Even then, accurate estimation remains challenging due to nois…

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Andr\'e Datchev, Lucas Zimmer, Daniel Rueckert, Bj\"orn Menze, Benedikt Wiestler
https://arxiv.org/abs/2507.17707

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
Butterfly tumors are a distinct class of gliomas that span the corpus callosum, producing a characteristic butterfly-shaped appearance on MRI. The distinctive growth pattern of these tumors highlights how white matter fibers and structural connectivity influence brain tumor cell migration. To investigate this relation, we applied biophysical tumor growth models to a large patient cohort, systematically comparing models that incorporate fiber tract information with those that do not. Our results…

This https://arxiv.org/abs/2506.05051 has been replaced.
initial toot: https://mastoxiv.page/@a…

Strongly Correlated Transport in Topological Y-Junction Devices
I study electron transport through a Y-shaped junction of helical edge states in a two-dimensional topological insulator (2DTI), focusing on the strongly interacting regime. An experimentally accessible device geometry is proposed, and the corresponding conductance tensor is calculated. These results position Y-junctions of 2DTI as promising platforms for interaction-driven transport and nanoscale device applications in spintronics and topological electronics.

Strongly Correlated Transport in Topological Y-Junction Devices
E. Novais
https://arxiv.org/abs/2506.05051 https://arxiv.org/pdf/2506…

Strongly Correlated Transport in Topological Y-Junction Devices
I study electron transport through a Y-shaped junction of helical edge states in a two-dimensional topological insulator (2DTI), focusing on the strongly interacting regime. An experimentally accessible device geometry is proposed, and the corresponding conductance tensor is calculated. These results position Y-junctions of 2DTI as promising platforms for interaction-driven transport and nanoscale device applications in spintronics and topological electronics.