Entropy Closure

Entropy closure tackles the computational challenge of solving kinetic equations by approximating probability distributions using only a limited set of moments. Current research focuses on developing efficient algorithms, such as neural networks and Gaussian process regression, to determine these distributions, often leveraging maximum-entropy principles for improved accuracy and stability. These advancements aim to significantly reduce the computational cost of large-scale simulations in fields like radiation transport, enabling more efficient modeling of complex physical systems.