Results 111 to 120 of about 7,249,127 (302)

Large Anomalous and Topological Hall Effect and Nernst Effect in a Dirac Kagome Magnet Fe3Ge

Advanced Functional Materials, EarlyView.
Fe3Ge, a Kagome‐lattice magnet, exhibits remarkable anomalous Hall and Nernst effects, with transverse thermoelectric conductivity surpassing or comaprable to some well‐known ferromagnets. First‐principles calculations attribute these to Berry curvature from massive Dirac gaps. Additionally, topological Hall and Nernst signals emerge from field‐induced
Chunqiang Xu, Shuvankar Gupta, Hengxin Tan, Hyeonhu Bae, Olajumoke Oluwatobiloba Emmanuel, Mingyu Xu, Yan Wu, Xiaofeng Xu, Pengpeng Zhang, Weiwei Xie, Binghai Yan, Xianglin Ke   +11 more
wiley   +1 more source

Topological Data Analysis [PDF]

Bulletin of Mathematical Biology, 2019
Reinhard Laubenbacher, Alan Hastings
openaire   +2 more sources

An Efficient Data Retrieval Parallel Reeb Graph Algorithm

Algorithms, 2020
The Reeb graph of a scalar function that is defined on a domain gives a topologically meaningful summary of that domain. Reeb graphs have been shown in the past decade to be of great importance in geometric processing, image processing, computer graphics,
Mustafa Hajij, Paul Rosen
doaj   +1 more source

Clean‐Limit 2D Superconductivity in a Thick Exfoliated Kagome Film

Advanced Functional Materials, EarlyView.
This study reports clean‐limit 2D superconductivity in a thick kagome system, analogous to the 3D case. It observes a drop in superfluid stiffness near the superconducting transition and a cusp‐like feature in the angular dependence of the upper critical field.
Fei Sun, Andrea Capa Salinas, Stephen D. Wilson, Haijing Zhang   +3 more
wiley   +1 more source

Introductory Topological Data Analysis

, 2020
This paper introduces topological data analysis. Starting from notions of a metric space and some elementary graph theory, we take example sets of data and demonstrate some of their topological properties. We discuss simplicial complexes and how they relate to something called the Nerve Theorem.
openaire   +2 more sources

Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn

Advanced Functional Materials, EarlyView.
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed, Arnab Bhattacharya, Prashant Singh, Ajay Kumar, Tukai Singha, Anis Biswas, Yaroslav Mudryk, I. Das   +7 more
wiley   +1 more source

Trajectory Classification Through Topological Data Analysis Perspectives

IEEE Access
This paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns.
Miriam Esteve, Antonio Falco
doaj   +1 more source

Mechanochemistry‐Assisted Solvent‐Free Supramolecular Engineering for Atomic‐Layered Carbon Nitride Nanosheets with Enhanced Photocatalytic Hydrogen Evolution

Advanced Functional Materials, EarlyView.
A solvent‐free mechanochemistry‐enabled supramolecular engineering strategy is developed to directly synthesize covalent‐interconnected two‐dimensional atomic‐layered carbon nitride nanosheets photocatalyst, bypassing conventional top‐down exfoliation requirements.
Fanglei Yao, Jingwen Sun, Huiru Duan, Yongsheng Fu, Jin Wang, Liming Dai, Jingsan Xu, Junwu Zhu   +7 more
wiley   +1 more source

Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System

Advanced Functional Materials, EarlyView.
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim, Zhuo Feng Lee, Gi‐Dong Sim, Sejoong Kim, Jessie S. Jeon   +4 more
wiley   +1 more source

Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis

Entropy, 2017
Topological data analysis is a noble approach to extract meaningful information from high-dimensional data and is robust to noise. It is based on topology, which aims to study the geometric shape of data.
Khaled Almgren, Minkyu Kim, Jeongkyu Lee
doaj   +1 more source