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Automated material analysis offers cut to cost and human error

Automated material analysis offers cut to cost and human error

Researchers in Japan have developed a method to automate a mathematical procedure used to analyse X-ray diffraction data, potentially providing a means to save materials scientists time and expenditure.

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JAIST Researchers Use Deep Learning to Unlock X-ray Diffraction Secrets

JAIST Researchers Use Deep Learning to Unlock X-ray Diffraction Secrets

Deep learning can help in characterizing materials by analyzing peak changes in x-ray diffractions

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Researchers Zoom In on Battery Wear and Tear

Researchers Zoom In on Battery Wear and Tear

A team of researchers can now understand, at an atomic level, exactly what occurs when lithium-ion batteries degrade

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Food Allergen Labeling

Food Allergen Labeling

Understand FDA’s Latest Thinking on Major Food Allergens and Their Labeling for Foods and Dietary Supplements

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An Overview of Ion Mobility Spectrometry

An Overview of Ion Mobility Spectrometry

Ion mobility spectrometry offers several advantages and is useful for important applications

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