This article introduces a special issue on the interaction between the rapidly expanding field
of machine learning and ongoing research in physics. The first half of the papers in this …

Deciphering the relationship between a gene and its genomic context is fundamental to
understanding and engineering biological systems. Machine learning has shown promise in …

In the realm of atomic physics and chemistry, composition emerges as the most powerful
means of describing matter. Mendeleev's periodic table and chemical formulas, while not …