Interpretable machine learning at Shibaura Institute of Technology reveals that the effect of surface roughness on the ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...
Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it's vital that materials scientists know exactly ...
Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...
Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.
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