This Special Issue focuses on the use of numerical modeling and machine learning techniques for modeling and optimizing processes and products. It covers topics such as finite element analysis, the finite volume method, the finite difference method, the boundary element method, discrete element methods, multibody simulation, and computational fluid dynamics. It also covers classification, regression, and optimization algorithms for developing machine learning or Artificial Intelligence techniques. Submissions are invited for research articles, review articles, and short communications.
