Results 81 to 90 of about 16,945 (287)
Advanced Materials, EarlyView.A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
A Joint Limit Theorem for Epstein and Hurwitz Zeta-Functions
MathematicsIn the paper, we prove a joint limit theorem in terms of the weak convergence of probability measures on C2 defined by means of the Epstein ζ(s;Q) and Hurwitz ζ(s,α) zeta-functions. The limit measure in the theorem is explicitly given.
Hany Gerges +2 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView.Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu +7 more
wiley +1 more source
Tightness of probability measures and its application in weak convergence.
In stochastic theory, several types of convergence are known, with convergence in dis- tribution being among the most commonly used. This type of convergence is defined via weak convergence, which is the primary focus of this bachelor's thesis.
Sochorová, Hanka
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On generalized shifts of the Mellin transform of the Riemann zeta-function
Open MathematicsIn this article, we consider the asymptotic behaviour of the modified Mellin transform Z(s){\mathcal{Z}}\left(s), s=σ+its=\sigma +it, of the Riemann zeta-function using weak convergence of probability measures in the space of analytic functions defined ...
Laurinčikas Antanas +1 more
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Weak convergence of probability measures to Choquet capacity functionals
TURKISH JOURNAL OF MATHEMATICS, 2018 Summary: In the definition of weak convergence of probability measures, it is assumed that the limit is a probability measure as well. We get rid of this assumption and require that the limit merely needs to be a Choquet-capacity functional. In terms of random variables, this means that the distributional limit no longer is a random point, but a random
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Weak convergence of probabilities on nonseparable metric spaces and empirical measures on Euclidean spaces [PDF]
Illinois Journal of Mathematics, 1966 It is known that under certain mild set-theoretic assumptions, a finite, countably additive measure defined on all Borel sets of a metric space is concentrated in a separable subspace (Marczewski and Sikorski [8]). However, there are interesting probability measures on metric spaces not concentrated in separable subspaces.
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Advanced Materials Technologies, EarlyView.This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo +12 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Left: Illustration of the glass & nanostructures system and the NIR emission at 1.5 µm, where the colored spheres represent the Er3+ ions within the doped glass. Right: Representation of the Stark splitting of the 4I13/2 and 4I15/2 manifolds of the Er3+, illustrating how the plasmonic modes facilitate the emission from the broader Stark manifold ...
Gaston Lozano Calderón +5 more
wiley +1 more source
Convergence in distribution of nonmeasurable random elements [PDF]
, 2004 A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hoffmann-Jorgensen, is characterized in terms of weak convergence of finitely additive probability measures.
BERTI, Patrizia, P. RIGO
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