J.A. Woollam highlights new AI ellipsometry research
The study uses deep learning to reduce noise in spectroscopic data, cutting prediction errors by up to 65 percent.
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Ellipsometer manufacturer
jawoollam.comLast updated
In short: J.A. Woollam published new ellipsometry research, showcased applications, and hosted workshops, seminars, and conferences.
The study uses deep learning to reduce noise in spectroscopic data, cutting prediction errors by up to 65 percent.
Ghent University researchers employ the spectrometer to monitor film thickness, optimizing nanomaterials for batteries and electronics via atomic layer deposition.
The study by Hans Arwin et al. demonstrates full Mueller-matrix measurements to separate complex anisotropic effects.
The study found ellagic acid templating enhances charge dynamics and boosts solar cell efficiency by 12%.
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