Results 91 to 100 of about 13,204,286 (295)
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Decoding the Stability of Transition-Metal Alloys with Theory-infused Deep Learning
We introduce an interpretable deep learning framework that predicts the cohesive energy of transition-metal alloys (TMAs) by embedding cohesion theory within graph neural networks (GNNs). Beyond accurate prediction of cohesive energy, a key indicator of thermodynamic stability, the model offers mechanistic insights by disentangling energy contributions
Huang, Yang +4 more
openaire +2 more sources
The professional learning of Scotland’s Adult Educators
, 2018 First paragraph: Following the publication of Adult Learning in Scotland: Statement of Ambition in 2014, four national working groups were set up to take forward the Scottish Government’s vision to establish world leading adult learning in Scotland. This
Galloway, Sarah
core
Activity theory: A framework for analysing intercultural academic activity [PDF]
, 2010 This article suggests that Activity Theory (AT) can be applied as a holistic framework to analyse the complex sociocultural issues that arise when academics wish to engage in collaborative activity across institutional and cultural boundaries.
Barnard, Roger, 2245
core
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Geophysical Research LettersModel instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking.
Hamid A. Pahlavan +2 more
doaj +1 more source
Comparisons of different deep learning-based methods on fault diagnosis for geared system
International Journal of Distributed Sensor Networks, 2019 The running state of a geared transmission system affects the stability and reliability of the whole mechanical system. It will greatly reduce the maintenance cost of a mechanical system to identify the faulty state of the geared transmission system ...
Bing Han +3 more
doaj +1 more source
Game Theory-Inspired Evolutionary Algorithm for Global Optimization
Algorithms, 2017 Many approaches that model specific intelligent behaviors perform excellently in solving complex optimization problems. Game theory is widely recognized as an important tool in many fields.
Guanci Yang
doaj +1 more source
The objective of this study is to investigate the stability of plane strain rectangular tunnels under the effects of soil cohesion, surcharge loading, and soil unit weight.
Shiau, Jim +5 more
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source