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Improving ML Model Generalizability for Lithium-Ion Cathode Screening

The current ML pipeline for lithium-ion cathode screening faces limitations in generalizing to structurally different materials, leading to weaker LOCO generalization. There is a need to improve the model's ability to handle uncertainty and calibration.

Computing & Technology, Computer Science, Machine Learning