The theory of dynamical systems has become fundamental for the study of multiple real-life problems. We want to model phenomena in order to understand their progress over time. A proper modeling ...

System dynamics modelling offers a coherent framework to analyse and inform public health policy by representing complex interactions among human behaviour, disease transmission, resource allocation ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

System Dynamics modeling for water resource management brings a holistic perspective to complex hydrological, socio-economic and environmental interactions. By constructing feedback-rich models that ...

A new commentary argues that AI models trained on molecular dynamics data are more reliable when built from multiple short, ...

Uncertainty is no longer episodic but a persistent feature of the operating environment for businesses, as market volatility, geopolitical risk, regulatory changes, demographic shifts and climate ...