Since 2020, aggregated from related topics
Physics-informed models are computational models that incorporate principles of physics or other scientific laws to enhance the accuracy and reliability of their predictions. These models are typically used in scientific fields where traditional empirical or data-driven models may not be sufficient, such as in fluid dynamics, geophysics, materials science, and climate modeling. By incorporating physical principles into the modeling process, physics-informed models can provide more insightful and accurate predictions, as well as offer a better understanding of underlying physical processes. These models can be used to simulate complex phenomena, optimize designs, and make predictions about future behavior based on known physical laws and constraints.