Scientific Computing

Scientific computing focuses on developing and applying computational methods to solve complex scientific problems, aiming to accelerate discovery and enhance understanding across diverse disciplines. Current research emphasizes integrating artificial intelligence, particularly machine learning models like neural networks (including physics-informed and physics-encoded variants) and large language models, to improve efficiency, scalability, and accuracy of simulations and data analysis. This integration is transforming fields like materials science, biophysics, and climate modeling, enabling faster simulations, more efficient data processing, and the potential for new scientific insights through automated analysis and hypothesis generation.