Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
4don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
A team of researchers has developed a new strategy for identifying hazardous pollutants in soil -- even ones that have never been isolated or studied in a lab. A team of researchers at Rice University ...
20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
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