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Physics-informed Bayesian optimization advances quantitative electron microscopy

Original: Physics-informed Bayesian optimization for quantitative high-resolution transmission electron microscopy

A study published in Nature introduces a physics-informed Bayesian optimization method for quantitative high-resolution transmission electron microscopy. The approach combines physical models with Bayesian optimization to make quantitative measurements of atomic-scale structures more accurate and efficient, reducing the experimental effort needed to extract reliable data from microscope images.

Why now: New methodology published in Nature promises more efficient, accurate quantitative analysis in high-resolution electron microscopy, a core tool in materials science.

Naturetransmission electron microscopyBayesian optimization

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