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Abstract
Explainable Artificial Intelligence (XAI) has gained prominence for providing transparency and understanding in the decision-making processes of machine learning models. This explainability is crucial in scientific areas, where trust in predictions must be high and decisions based on these models can have significant implications. In the field of chemistry, the use of XAI is particularly …