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Physics-guided machine learning improved waveform prediction under sparse data
Physics-guided machine learning framework predicts quasi-isentropic waveforms from sparse data, achieving 96% accuracy and reducing computational resource requirements for material design.
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Yield curve factors predict growth in some countries, not inflation
Analysis of yield curve predictive power for growth and inflation across 40 countries finds stronger performance in developed and CEE economies and low-credibility contexts.
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Multimodal nonlinear acoustics in two- and three-dimensional curved ducts
A weakly nonlinear model of duct acoustics in two and three dimensions accommodates curvature, torsion, and width variation, enabling analysis of wave steepening in curved ducts.