Results 131 to 140 of about 1,665,658 (262)
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
Optimal Frequency-Domain Uncertainty Quantification for MIMO Systems Using Normalised Hausdorff Measure [PDF]
Uncertainty quantification is essential for robust controller synthesis to ensure stability and performance under varying conditions, parameters, and external disturbances. To reduce the conservatism in the controller design, a 'tight' description of the
Karimi, Alireza, Gupta, Vaibhav
core
An explicit constitutive reconstruction framework enables accurate tensile characterization of miniaturized additively manufactured specimens using only the grip‐to‐grip displacement measurements. Progressive validation through self‐consistency, analytical comparison, and inverse finite element method (iFEM) benchmarking demonstrates constitutive ...
Junqing Leng +4 more
wiley +1 more source
The NASA Langley Multidisciplinary Uncertainty Quantification Challenge [PDF]
This paper presents the formulation of an uncertainty quantification challenge problem consisting of five subproblems. These problems focus on key aspects of uncertainty characterization, sensitivity analysis, uncertainty propagation, extreme-case ...
Kenny, Sean P. +2 more
core
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
Benchmarking uncertainty quantification for protein engineering.
Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. Such methods
Kevin P Greenman +2 more
doaj +1 more source
This paper addresses an important gap in the geospatial sciences by proposing a new and generic framework for uncertainty quantification for complex geo-computational models.
Auroop R Ganguly +3 more
core
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn +5 more
wiley +1 more source
AN EMPIRICAL METHOD FOR INVERSE UNCERTAINTY QUANTIFICATION IN CRITICAL FLOW SIMULATION
Uncertainty quantification in thermal-hydraulic and severe accident analysis is often performed by the probabilistic propagation of input uncertainty through a simulation code.
Mascari, Fulvio +4 more
core
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source

