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Machine learning workflow enables faster, more reliable organic crystal structure prediction
"Our workflow employs a unique strategy where machine learning models first predict the most probable space groups and crystal densities, filtering out unstable, low-density candidates before ...
Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...
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