Abstract: A support vector machine surrogate model was developed to address the time-consuming issue of Monte Carlo simulation of aircraft engine components, and a Monte Carlo simulation method based ...

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 ...

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 ...