Results 161 to 170 of about 581,816 (303)
Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy
Advanced Engineering Materials, EarlyView.A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang +10 more
wiley +1 more source
Physical Fitness Indices for Data with Non-normal Distribution
, 2012 [[abstract]]At present, there are only few tools on the evaluation of group physical fitness. Hung proposed physical fitness indices based on the process capability indices (PCI) to assess physical fitness level.
許昌賢;Hsu, Chang-Hsien;Chang-Hung Hung
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PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Productivity Distribution, Firm Heterogeneity, and Agglomeration: Evidence from firm-level data [PDF]
This paper empirically examines how productivity distributions of firms vary across regions based on Japan's manufacturing census data. We confirm the established finding of higher average productivity in core regions, but find that firm productivity is ...
TOMIURA Eiichi, OKUBO Toshihiro
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Log Normal Regression and its Application
Log Normal Regression and its Application Ni Luh Sri Diantini1, Calvin Riswandi1 1Statistics Department Matana University Email: 1niluh.sridiantini@matanauniversity.ac.id, 1calvin.riswandi@student.matanauniversity.ac.id Received: 19 December ...
Diantini, Ni Luh Sri, Riswandi, Calvin
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Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Non-negative demand in newsvendor models:The case of singly truncated normal samples
This paper considers the classical newsvendor model when demand is normally distributed but with a large coefficient of variation. This leads to observe with a non-negligible probability negative values that do not make sense.
Halkos, George, Kevork, Ilias
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Advanced Engineering Materials, EarlyView.Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş +2 more
wiley +1 more source
Hearing impairment and the log-normal distribution
Data on hearing impairment are studied by using a three-parameter log-normal distribution, all of whose parameters depend on covariates. The fitting algorithm is an extension of generalized linear modelling.
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