Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Mathematical modelling of Physarum polycephalum dynamics has emerged as a vital research area that bridges biology, physics and applied mathematics. These models aim to elucidate the sophisticated ...

Mathematical modelling of immune responses to influenza virus infections represents a vital interdisciplinary approach that bridges theoretical constructs with empirical observations. These models ...