Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

Rapid and accurate simulations of fluid dynamics around complicated geometric bodies are critical in a variety of engineering and scientific applications. While scientific machine learning (SciML) has ...

The integration of machine learning (ML) algorithms with statistical analysis and user-friendly interfaces has become crucial for democratizing advanced analytics across various domains, particularly ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...