Results 101 to 110 of about 356,589 (232)
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Litter decomposition is a critical ecosystem process that influences nutrient cycling and carbon sequestration, yet the role of microbial communities, especially bacteria, in driving decomposition dynamics is not well understood, particularly in stress ...
Tao Yang +12 more
doaj +1 more source
An Introductory Review of a Structural VAR-X Estimation and Applications [PDF]
This document presents how to estimate and implement a structural VAR-X model under long run and impact identification restrictions. Estimation by bayesian and maximum likelihood methods is presented.
Norberto Rodríguez, Sergio Ocampo
core
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann +4 more
wiley +1 more source
The Effects of Government Expenditure, Liquidity and Market Structure on Financial Development of Stock Market [PDF]
This study explores the effects of liquidity, government expenditure and market structure on the financial development of stock market. Analysis on seasonal data (2001/2-2011/4) is performed by using Vector Autoregressive model.
Mahdiye Akbary Roshan, Abbas i Shaker
doaj
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
The bias-variance tradeoff tells us that as model complexity increases, bias falls and variances increases, leading to a U-shaped test error curve. However, recent empirical results with over-parameterized neural networks are marked by a striking absence
Baratin, Aristide +6 more
core
Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi +3 more
wiley +1 more source
Evaluating BRICS as an optimum currency area: insights from SVAR modeling
The study evaluates the feasibility of BRICS (Brazil, Russia, India, China, and South Africa) countries to form an Optimum Currency Area (OCA) through the analysis of shock correlation within the OCA framework.
Marida Nach, Ronney Ncwadi
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Production of MgO/TiC Composites From MgO‐C Recyclates Using Spark Plasma Sintering
Using the spark plasma sintering technique, MgO/TiC composites are manufactured from recycled MgO‐C refractories stemming from the steel production that were mixed with titanium powder. This article shows, how the size of the Ti grains and their distribution in the powder mixture affect the local carbon concentration in TiC.
Jiayan Yu +3 more
wiley +1 more source

