Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Phase field models are an important mesoscale method that serves as a bridge between the atomic scale and the macroscale, used for modeling complex phenomena at the microstructure level. Machine ...

Machine Learning (ML), a facet of artificial intelligence (AI), utilizes computational methods to boost system performance by learning from experience, underpinned by mathematics, statistics, and ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...