Results 101 to 110 of about 3,221 (259)

Quasi-Triangular Spaces, Pompeiu-Hausdorff Quasi-Distances, and Periodic and Fixed Point Theorems of Banach and Nadler Types

open access: yesAbstract and Applied Analysis, 2015
Let C={Cα}α∈A∈[1;∞)A, A-index set. A quasi-triangular space (X,PC;A) is a set X with family PC;A={pα:X2→[0,∞),  α∈A} satisfying ∀α∈A  ∀u,v,w∈X  {pα(u,w)≤Cα[pα(u,v)+pα(v,w)]}.
Kazimierz Włodarczyk
doaj   +1 more source

A New Approach to Function Spaces on Quasi-Metric Spaces

open access: yesRevista Matemática Complutense, 2005
Let \(n\in\mathbb N\) and ...
openaire   +2 more sources

Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo   +10 more
wiley   +1 more source

Residual‐Lithium‐to‐LiF Conversion Enables a LiF–Fluorinated Carbon Interphase for Reconstruction‐Resistant Ni‐Rich Cathodes

open access: yesAdvanced Functional Materials, EarlyView.
A fluorine‐rich acrylate monomer (PFHEA) was solvent‐free applied to NCM90 and thermally decomposed under Ar to convert residual lithium into LiF and form a pre‐built LiF/fluorinated amorphous carbon (LiF/FC) interphase. The LiF/FC layer suppresses NiO rock‐salt reconstruction and microcrack propagation, lowers interfacial resistance, and improves Li ...
Pangyu Kim   +6 more
wiley   +1 more source

Quasi-metric spaces and information systems

open access: yesCiência da Informação, 1975
O relacionamento entre fontes de informação édefinido em termos de um espaço quase-métrico. Esta propriedade é utilizada para quantificar certos padrões funcionais em sistemas de informaçãocriados pelo homem, tais como a biblioteca.
Thomas G. Morris Jr, William Goffman
doaj  

Monotone Picard Maps in Relational Metric Spaces

open access: yesMathematics
The 2008 fixed point result on rs-relational metric spaces due to Jachymski is equivalent with the classical 1922 Banach Contraction Principle. This is also valid for the 1961 statement in metric spaces due to Edelstein, or the 2005 fixed point result in
Mihai Turinici
doaj   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

open access: yesAdvanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus   +8 more
wiley   +1 more source

Partial Metrics Viewed as w-Distances: Extending Some Powerful Fixed-Point Theorems

open access: yesMathematics
Involving w-distances and hybrid contractions that combine conditions of the Ćirić type and Samet et al. type, we obtain some general fixed-point results for quasi-metric spaces from which powerful and significant fixed-point theorems on partial metric ...
Salvador Romaguera, Pedro Tirado
doaj   +1 more source

Matkowski theorems in the context of quasi-metric spaces and consequences on G-metric spaces

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2016
In this paper, we prove the characterization of a Matkowski's theorem in the setting of quasi-metric spaces.
Karapιnar Erdal   +2 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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