Results 91 to 100 of about 205,855 (287)
On Some Further Generalizations of Strong Convergence in Probabilistic Metric Spaces Using Ideals
Following the line of (Das et al., 2011, Savas and Das, 2011), we make a new approach in this paper to extend the notion of strong convergence and more general strong statistical convergence (Şençimen and Pehlivan, 2008) using ideals and introduce the ...
Pratulananda Das +3 more
doaj +1 more source
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
In this paper, we introduce the notion of Menger probabilistic partial metric space and prove some fixed point theorems in the framework of such spaces. Some examples and an application to Volterra type integral equation are given to support the obtained
Amir Ghanenia +3 more
doaj +2 more sources
Results in Fuzzy Probabilistic Metric Space
In this paper we prove fixed point theorem in the setting of fuzzy probabilistic metric space using weak commuting mappings and also prove result for rational expression.
Patel, Shailendra Kumar +2 more
openaire +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
A distance geometry-based description and validation of protein main-chain conformation
Understanding the protein main-chain conformational space forms the basis for the modelling of protein structures and for the validation of models derived from structural biology techniques. Presented here is a novel idea for a three-dimensional distance
Joana Pereira, Victor S. Lamzin
doaj +1 more source
Strong ideal convergence in probabilistic metric spaces
The authors introduce the notion of strong ideal convergence in Probabilistic Metric (=PM) spaces. Let \({\mathcal I}\) be an ideal in \(\mathbb N\) (\(A\cup B\in{\mathcal I}\) if \(A,B\in{\mathcal I}\) and \(B\in{\mathcal I}\) if \(B\subset A\in{\mathcal I}\)).
PEHLİVAN, Serpil +1 more
openaire +3 more sources
The growing demand for lightweight, nontoxic, and multifunctional gamma shielding materials has intensified efforts to find alternatives to conventional lead and aluminum‐based protectants. In this work, we develop epoxy quartz fabric composites reinforced with cobalt chloride (CoCl2) microparticles, fabricated via hand lay‐up with varying filler ...
Summan Urooge +7 more
wiley +1 more source
This work presents a simulation‐based framework based on representative volume elements (RVEs) that explicitly incorporates process‐induced second‐order residual stresses into the fatigue strength assessment of ductile cast iron (DCI). For the first time, this approach enables a direct evaluation of the influence of second‐order residual stress fields ...
Lutz Horbach +4 more
wiley +1 more source

