Results 31 to 40 of about 18,424,037 (238)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
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
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
On the Exponentiated Generalized Alpha Power Transformation Technique and Associated Inference
A new technique for constructing families of distributions, called the exponentiated generalized alpha power transformation-G (EGAPT-G), is proposed. Our new method adds two additional shape parameters and allows one to choose any baseline distribution ...
Regent Retrospect Musekwa +1 more
doaj +1 more source
Modeling real-world data with skewed Loai distribution: properties, estimation, and applications
IntroductionNew probability distributions are often introduced to improve the modeling of positive and right-skewed data. In this study, we propose a two-parameter skewed Loai distribution (SLD) obtained by applying a squared-cdf transformation ...
Mohammed Gharaibeh +3 more
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Probability distribution theory, generalisations and applications of l-moments [PDF]
In this thesis, we have studied L-moments and trimmed L-moments (TL-moments) which are both linear functions of order statistics. We have derived expressions for exact variances and covariances of sample L-moments and of sample TL-moments for any sample ...
Elamir, Elsayed Ali Habib +1 more
core
Concomitants of Generalized Order Statistics for a Bivariate Exponential Distribution [PDF]
In this paper we have obtained the distribution of concomitant of order statistics for Bivariate Pseudo–Exponential distribution. The expression for moments has also been obtained.
Hanif, Saman, Shahbaz, Muhammad Qaiser
core +1 more source
Analysis of Minute Features in Speckled Imagery with Maximum Likelihood Estimation
This paper deals with numerical problems arising when performing maximum likelihood parameter estimation in speckled imagery using small samples. The noise that appears in images obtained with coherent illumination, as is the case of sonar, laser ...
Cribari-Neto Francisco +2 more
doaj +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source

