Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

The study suggests that physically informed AI can do more than interpolate missing data; it can help connect satellite generations into a more coherent long-term observing system. The authors note ...