Results 101 to 110 of about 7,249,127 (302)
2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng +7 more
wiley +1 more source
Disambiguating flat spots in discrete scalar fields
We consider 2D scalar fields sampled on a regular grid. When the gradient is low relative to the resolution of the dataset’s range, the signal may contain flat spots: connected areas where all points share the same value.
L. Rocca, F. Iuricich, E. Puppo
doaj +1 more source
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia
We use methods from computational algebraic topology to study functional brain networks, in which nodes represent brain regions and weighted edges encode the similarity of fMRI time series from each region.
Emerson, Tegan +4 more
core
Revealing hidden medium-range order in amorphous materials using topological data analysis
Hidden medium-range structural features of disordered materials can be extracted through persistent homology analyses. Despite the numerous technological applications of amorphous materials, such as glasses, the understanding of their medium-range order (
S. S. Sørensen +4 more
semanticscholar +1 more source
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
wiley +1 more source
The importance of the whole: Topological data analysis for the network neuroscientist [PDF]
Data analysis techniques from network science have fundamentally improved our understanding of neural systems and the complex behaviors that they support.
Ann E. Sizemore +3 more
doaj +1 more source
Reconfigurable Three‐Dimensional Superconducting Nanoarchitectures
3D superconducting nanostructures offer new possibilities for emergent physical phenomena. However, fabricating complex geometries remains challenging. Here 3D nanoprinting of complex 3D superconducting nanoarchitectures is established. As well as propagating superconducting vortices in 3D, anisotropic superconducting properties with geometric ...
Elina Zhakina +11 more
wiley +1 more source
Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu +3 more
wiley +1 more source
Topological Data Analysis of Vascular Disease: A Theoretical Framework
Vascular disease is a leading cause of death world wide and therefore the treatment thereof is critical. Understanding and classifying the types and levels of stenosis can lead to more accurate and better treatment of vascular disease.
John Nicponski +2 more
doaj +1 more source
Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey +12 more
wiley +1 more source

