Machine learning (ML) has emerged as a powerful tool for developing interatomic models (IAM) capable of bridging the computational efficiency of classical molecular mechanics approaches and the ...

This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to ...

Researchers developed a fully numerical design method using differential equations and genetic algorithms to optimize WPT systems. This approach ensures stable output voltage, high efficiency, and ...