Results 91 to 100 of about 740,617 (344)

Confinement Driven Spin‐Texture Evolution in Directly Written Nanomagnets

open access: yesAdvanced Functional Materials, EarlyView.
Spin‐texture is directly written by triggering lattice ordering locally at the nanoscale. Geometric confinement drives the formation of spin‐textures such as Néel walls with perpendicular core spins, essential for technological applications. Abstract In low‐dimensional magnetic structures, magnetostatic energy minimization yields a uniform spin‐texture,
Md. Shadab Anwar   +11 more
wiley   +1 more source

Entropiesand Degree-Based Topological Indices of Generalized Sierpiński Graphs

open access: yesFractal and Fractional
Fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon ...
Si-Ao Xu, Jia-Dong Si, Jia-Bao Liu
doaj   +1 more source

On the Topological Entropy of Some Skew-Product Maps

open access: yesEntropy, 2013
The aim of this short note is to compute the topological entropy for a family of skew-product maps, whose base is a subshift of finite type, and the fiber maps are homeomorphisms defined in one dimensional spaces.
Jose S. Cánovas
doaj   +1 more source

Topological entropy [PDF]

open access: yesTransactions of the American Mathematical Society, 1965
Adler, R. L.   +2 more
openaire   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Topological classifier for detecting the emergence of epileptic seizures

open access: yesBMC Research Notes, 2018
Objective An innovative method based on topological data analysis is introduced for classifying EEG recordings of patients affected by epilepsy. We construct a topological space from a collection of EEGs signals using Persistent Homology; then, we ...
Marco Piangerelli   +3 more
doaj   +1 more source

On topological aspects of degree based entropy for two carbon nanosheets

open access: yes, 2020
The entropy-based procedures from the configuration of chemical graphs and multifaceted networks, several graph properties have been utilized. For computing, the organizational evidence of organic graphs and multifaceted networks, the graph entropies ...
S. Manzoor   +3 more
semanticscholar   +1 more source

Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability

open access: yesAdvanced Functional Materials, EarlyView.
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao   +13 more
wiley   +1 more source

Topological entropy of homoclinic closures [PDF]

open access: yesTransactions of the American Mathematical Society, 1989
In this paper we study the topological entropy of certain invariant sets of diffeomorphisms, namely the closure of the set of transverse homoclinic points associated with a hyperbolic periodic point, in terms of the growth rate of homoclinic orbits. First we study homoclinic closures which are hyperbolic in n n -dimensional compact ...
openaire   +2 more sources

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