Results 111 to 120 of about 8,827,923 (262)
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Error report for Lades et al. (2020)
DECISION AND RECOMMENDATION Lades, Laffan, Daly, & Delaney (2020) “Daily emotional well‐being during the COVID‐19 pandemic” was determined to contains Moderate Errors that do not affect the core conclusions.
ERROR
core +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Underwater inertial error rectification with limited acoustic observations
Underwater inertial navigation is particularly difficult for the long-durance operations as many navigation systems such global satellite navigation systems are unavailable.
Hongqiong Tang +3 more
doaj +1 more source
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
The optimization of real-time drilling faces significant hurdles stemming from limited data availability, complex operational environments, and a lack of machine learning models that can transfer knowledge across different geological settings.
Yerzhan Koshkarov +2 more
doaj +1 more source
Human Error and Organizational Management [PDF]
The concern for performance is a topic that raises interest in the business environment but also in other areas that – even if they seem distant from this world – are aware of, interested in or conditioned by the economy development.
Lavinia RASCA, Alecxandrina DEACONU
core
In computations over many-sorted algebras, one typically encounters error cases, caused by attempting to evaluate an operation outside its domain (e.g.
Lei, Wei
core

