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University of Stuttgart
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A unified platform for molecular machine learning that supports 100 elements and incorporates uncertainty quantification could democratize access to advanced chemical property predictions.
Achieve up to 96% training time reduction for calibrated machine learning interatomic potentials by fine-tuning shallow ensembles, without sacrificing calibration quality.