Results 81 to 90 of about 426,517 (268)
The importance of the whole: Topological data analysis for the network neuroscientist [PDF]
Network Neuroscience, 2019 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
Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions
Advanced Functional Materials, EarlyView.Magnetic force microscopy operated under vacuum conditions enables the qualitative identification of higher‐order skyrmions and antiskyrmions in Co/Ni multilayers at room temperature. Distinct stray‐field contrast signatures arise from vertical Bloch lines and complex domain‐wall configurations.
Sabri Koraltan +8 more
wiley +1 more source
Topological Data Analysis of Vascular Disease: A Theoretical Framework
Frontiers in Applied Mathematics and Statistics, 2020 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
Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires
Advanced Functional Materials, EarlyView.Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar +11 more
wiley +1 more source
Stacking‐Engineered Magnonic Topology and Transport in Honeycomb Homobilayers
Advanced Functional Materials, EarlyView.ABSTRACT Topological magnons have emerged as a promising platform for dissipationless bosonic transport. However, a straightforward and effective strategy to engineer such topological states in real materials has yet to be fully realized. Here, a general scheme for controlling magnonic topological states via stacking engineering in van der Waals ...
Xiaoran Feng +6 more
wiley +1 more source
Topological Data Analysis [PDF]
Bulletin of Mathematical Biology, 2019 Reinhard Laubenbacher, Alan Hastings
openaire +2 more sources
Interpretable statistics for complex modelling: quantile and topological learning [PDF]
, 2019 As the complexity of our data increased exponentially in the last decades, so has our need for interpretable features. This thesis revolves around two paradigms to approach this quest for insights.
Padellini, Tullia
core
Advanced Functional Materials, EarlyView.Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He +5 more
wiley +1 more source
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
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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