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Machine learning workflow enables faster, more reliable organic crystal structure prediction
In functional materials, like organic semiconductors, controlling crystal structures is crucial for achieving desired electronic properties. However, crystal structure prediction (CSP) is an ...
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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