Results 51 to 60 of about 1,048,002 (287)
ON THE ARONSZAJN PROPERTY FOR AN INTEGRAL EQUATION WITH WEAKLY SINGULAR KERNEL
The author proves that, for Banach spaces \(E\), \(F\) and \(D=[0,d]\), under suitable conditions on \(p\in C(D,E)\), \(f:D\times E\rightarrow F\), \( K(t,s)=H(t,s)/(t-s)^{r}\) with \(H:\{(t,s):0\leq s\leq t\leq d\}\rightarrow \mathcal{L}(F,E)\) continuous and ...
openaire +2 more sources
A finite element method for time fractional partial differential equations [PDF]
This is the authors' PDF version of an article published in Fractional calculus and applied analysis© 2011. The original publication is available at www.springerlink.comThis article considers the finite element method for time fractional differential ...
Yan, Yubin +5 more
core +1 more source
A dioxolane‐mediated reaction synthesis provides a simple and scalable route to phase‐pure Cs3Cu2Cl5 scintillator powders with near‐complete conversion, near‐unity photoluminescence quantum yield, and long‐term stability. The resulting green‐emitting composite films exhibit strong radioluminescence, high light yield, and practical compatibility with ...
Young Seung Choi +12 more
wiley +1 more source
The Reproducing Kernel Hilbert Space Method for Solving System of Linear Weakly Singular Volterra Integral Equations [PDF]
The exact solutions of a system of linear weakly singular Volterra integral equations (VIE) have been a difficult to find. The aim of this paper is to apply reproducing kernel Hilbert space (RKHS) method to find the approximate solutions to this ...
Al-Humedi, Hameeda Oda
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
On integral equations with Weakly Singular kernel by using Taylor series and Legendre polynomials
This paper is concerned with the numerical solution for a class of weakly singular Fredholm integral equations of the second kind. The Taylor series of the unknown function, is used to remove the singularity and the truncated Taylor series to second ...
Babolian Esmail +4 more
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Fractional differential equations can present the physical pathways with the storage and inherited properties due to the memory factor of fractional order.
Tayyaba Akram +4 more
doaj +1 more source
Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]
. When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi +11 more
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

