3 papers
physics.flu-dyn2025
Cause-and-effect approach to turbulence forecasting
Álvaro Martínez-Sánchez, Adrián Lozano-Durán
Traditional approaches to turbulence forecasting often rely on correlation-based criteria for input selection. These methods may select variables that correlate with the target wit…
physics.data-an2025
Observational causality by states and interaction type for scientific discovery
Álvaro Martínez-Sánchez, Adrián Lozano-Durán
Causality plays a central role in understanding interactions between variables in complex systems. These systems often exhibit state-dependent causal relationships, where both the…
physics.flu-dyn2025
Dimensionless learning based on information
Yuan Yuan, Adrián Lozano-Durán
Dimensional analysis is one of the most fundamental tools for understanding physical systems. However, the construction of dimensionless variables, as guided by the Buckingham-…