Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...

Abstract: The research presents a thorough review of machine learning algorithms for predicting turbulence intensity in fluid dynamics, based on both Direct Numerical Simulation (DNS) and Large Eddy ...

Implementation of the paper Simulation-assisted machine learning for operational digital twins. In this paper we propose a method to make predictions overcoming the following problems: Not enough data ...