Crystal structure prediction of organic molecules by machine learning-based lattice sampling and structure relaxation

Key Points

• Success in predicting crystal structures increased significantly with the new ML workflow.
• The method narrows the search space for organic molecules, leading to faster predictions.
• The ML-based approach incorporates lattice sampling and structure relaxation for better accuracy.
• These findings suggest machine learning can revolutionize predictions in structural chemistry.