Results 281 to 290 of about 5,234,127 (383)

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

Continuity corrected score confidence interval for the difference in proportions in paired data. [PDF]

J Appl Stat
Chang P, Liu R, Hou T, Yan X, Shan G.
europepmc   +1 more source

Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes

Advanced Engineering Materials, EarlyView.
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh, Mohammad Reza Mohammadizadeh, Carlo Antonini, Raziyeh Akbari   +3 more
wiley   +1 more source

Estimation and interpretation of k{sub eff} confidence intervals in MCNP

, 1995
Todd Urbatsch, R.A. Forster, R.E. Prael, Richard J. Beckman   +3 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Static Recrystallization Simulation of Interstitial Free‐Steel by Coupling Multi‐Phase‐Field and Crystal Plasticity Model Considering Dislocation Density Distribution

Advanced Engineering Materials, EarlyView.
This study models static recrystallization in interstitial free‐steel using coupled crystal plasticity and phase‐field simulations. The method directly links heterogeneous dislocation density to nucleation site prediction, eliminating reliance on empirical assumptions.
Alireza Rezvani, Ramin Ebrahimi, Ebad Bagherpour   +2 more
wiley   +1 more source

A Simulative Approach for the Prediction of Mesoscale Residual Stress Fields in Solution‐Strengthened Ferritic Ductile Iron

Advanced Engineering Materials, EarlyView.
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach, Oliver Schenk, Valérian Iss, Ali Rajaei, Jiali Zhang, Felix Weber, Christoph Broeckmann   +6 more
wiley   +1 more source

Generalized Confidence Interval for the Largest Normal Mean

Journal of Mathematical Extension, 2008
Javad Behboodian, Ali Akbar Jafari
doaj  

Confidence interval for quantiles and percentiles. [PDF]

Biochem Med (Zagreb), 2019
Ialongo C.
europepmc   +1 more source

Confidence interval, prediction interval and tolerance limits for a two-parameter Rayleigh distribution. [PDF]

J Appl Stat, 2020
Krishnamoorthy K, Waguespack D, Hoang-Nguyen-Thuy N.   +2 more
europepmc   +1 more source