Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

This paper proposes a novel physics-informed machine learning approach for metasurface inverse design, which integrates a physics-assisted genetic algorithm with a residual neural network (ResNet) to ...