Results 231 to 240 of about 22,163,095 (343)
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
Seismic Risk of Critical Transport Systems: Sensitivity Analysis of the Campania Railway Network to Bradyseism's Features. [PDF]
De Risi R +3 more
europepmc +1 more source
Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao +2 more
wiley +1 more source
Reframing spinal cord injury rehabilitation in fragile contexts: a multi-level systems framework for Lebanon. [PDF]
Saleh NEH +5 more
europepmc +1 more source
Faith, Flags, and Fragile States: A Philosophical, Economic, and Political Analysis of Religion and Nationalism in Africa’s Great Lakes Region [PDF]
Wasike David
openalex +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
From Efficient Frontier to Fragile Frontier: A Global Sensitivity Analysis of Markowitz Portfolios [PDF]
Stefano Pellegrino +2 more
openalex +2 more sources
Fragility Score in Radiographic Axial Spondyloarthritis Assessed with Radiofrequency Echographic Multi-Spectrometry (REMS). [PDF]
Bischoff E +3 more
europepmc +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

