Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction–diffusion processes are widely used to model such behaviour ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

Development of large-scale models often involves—or, certainly could benefit from—linking existing models. This process is termed model integration and involves two related aspects: (1) the coupling ...

In an article published in the journal Machine Learning Science and Technology, researchers explored the decision-making ...

Precipitation is difficult to represent in global climate models. Although most single-column models can reproduce the observed average precipitation reasonably well, there are significant differences ...