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 ...

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 ...

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...