New model predicts black carbon light scattering with uncertainty
A new hybrid Bayesian neural network predicts the optical properties of black carbon particles with quantified uncertainty, outperforming traditional spherical ...
A new hybrid Bayesian neural network predicts the optical properties of black carbon particles with quantified uncertainty, outperforming traditional spherical ...
University of Illinois researchers developed a low-cost microscope technique to assess cement particle size and shape for predicting slurry flow ...
A new standardized workflow enables the extraction of sterile, representative textile particles for realistic in vitro health effect studies.
Laboratory tests found that an eight-second residence time produced spherical, compositionally uniform NCM811 precursor particles averaging 2 μm and a ...
A controlled laboratory study found that five polar amino acids produced distinct ZnO crystallization, dispersion, morphology and optical properties under ...
Researchers in China and Singapore show that particle shape and rotation angle can reverse optical torques and freeze rotation in ...
University of Bayreuth researchers used a deep learning model and wind tunnel experiments to show that irregular, larger tyre wear ...
Researchers at Jam Petrochemical Company and Amirkabir University of Technology show how the composition, porosity, and morphology of industrial Ziegler–Natta ...
New experiments and numerical modeling show that the spherical particle assumption systematically overestimates gas diffusion in coal, with an ellipsoidal ...
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© 2026 Scienmag - Science Magazine