Results 121 to 130 of about 9,925,195 (289)
A generalization of order convergence
, 2019 Let $E$ be a sublattice of a vector lattice $F$. $\left( x_α\right)\subseteq E$ is said to be $ F $-order convergent to a vector $ x $ (in symbols $ x_α\xrightarrow{Fo} x $), whenever there exists another net $ \left(y_α\right) $ in $F $ with the some index set satisfying $ y_α\downarrow 0 $ in $F$ and $ | x_α- x | \leq y_α$ for all indexes $ α$. If $F=
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Order convergence and compactness
, 2004 Let $(P,\leq)$ be a partially ordered set and let $τ$ be a compact topology on $P$ that is finer than the interval topology. Then $τ$ is contained in the order (convergence) topology on $(P,τ)$. So any Priestley topology is contained in the order topology.
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Alzheimer's Disease Beyond Amyloid: Lessons From Atherosclerosis
Annals of Clinical and Translational Neurology, EarlyView.
Marcello Ciaccio, Luisa Agnello
wiley +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
High order discretization schemes for stochastic volatility models [PDF]
In usual stochastic volatility models, the process driving the volatility of the asset price evolves according to an autonomous one-dimensional stochastic differential equation. We assume that the coefficients of this equation are smooth.
Mohamed Sbai, Benjamin Jourdain
core
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
ON UNBOUNDED ORDER CONVERGENCE [PDF]
Real Analysis Exchange, 1997 Kaplan, Samuel, Kaplan, Samuel
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On Numerical Methods for g-Tempered Fractional Differential Equations with Applications
MathematicsThis paper presents a comprehensive theoretical and computational analysis of the g-tempered L1 discretization scheme for fractional differential operators acting on Hölder spaces.
Mieczysław Cichoń, Kinga Cichoń
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