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Physical-based

Physical-based refers to methods, models, or systems that derive their functionality or characteristics from underlying physical principles, laws of nature, and empirical observations. These approaches often involve simulating or replicating real-world phenomena using mathematical equations and computational techniques. The focus is on representing the tangible aspects of a system or environment, considering material properties, interactions, and constraints. This contrasts with abstract or purely data-driven models that may not explicitly incorporate the fundamental physics involved. Accuracy and realism are key goals in physical-based systems, making them suitable for applications where precise simulations or predictions are crucial. They use formulas and knowledge of physical properties for a better and more accurate result.

Physical-based meaning with examples

  • In computer graphics, physical-based rendering (PBR) techniques simulate light interactions with surfaces based on their material properties, like the roughness and reflectivity. This results in highly realistic images and animations. The model uses the physical properties of light, such as its ability to be reflected and refracted.
  • Aerospace engineers utilize physical-based simulations of airflow over aircraft wings. These simulations leverage the laws of fluid dynamics to optimize aircraft designs for fuel efficiency and performance. Using physical-based methods helps ensure that the designs are realistic and will preform to the best of their ability.
  • Seismic analysis relies on physical-based models to understand how earthquakes propagate through the Earth. These models consider geological formations and wave propagation. They analyze how waves will move with known data.
  • Researchers in robotics use physical-based simulations to model the movement of robots and their interaction with the environment, incorporating principles of mechanics and dynamics. Understanding the underlying principles of physics helps build better robots.
  • Weather forecasting relies on physical-based climate models that incorporate atmospheric physics to predict future weather patterns. These methods require understanding of how heat moves and the other properties in the air.

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