From Data-Driven Models to Physical Insight: Vibrational Entropy Governed by Atomic Volume
This paper presents a computationally efficient framework that uses machine learning and SHAP analysis to reveal that vibrational entropy is primarily governed by atomic volume, allowing for the development of a simple, physically interpretable analytical model that captures both structural and temperature-dependent behaviors.