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 ...

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 ...

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 ...

Figure 1. Schematic diagram of the overall workflow of physical embedding machine learning force field: including high-order isovariant models, physical knowledge-guided adaptive bond length sampling ...

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

Web Development vs. Data Science vs. Machine Learning: Students aspiring to build a career in IT or Computer Science often ...