Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Simplified and flexible software for two-stage approach (dynamic pressure boundary conditions) to improve CO2 storage regional and site simulations. If you are interested in a specific version (e.g., ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

Note that we are not able to build with shared libraries yet, see OPM/opm-simulators#5390. We need to enable embedded Python in opm-common in order to run the PYACTION test cases.