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Special Topic: Computational Methods enhanced by Artificial Intelligence
Editor(s): Prof. Rabczuk Timon, Prof. Xiaoying Zhuang

In recent years, the convergence of computational methods and artificial intelligence (AI) has revolutionized various domains across science, engineering, and industry. This special issue aims to explore the exciting advancements, potential, and challenges in the field of computational methods enhanced by artificial intelligence. By harnessing the power of intelligent algorithms, researchers have unlocked new frontiers in problem-solving and decision-making, enabling innovative solutions for complex and large-scale problems. Computational methods have long been used to model and analyze real-world phenomena, ranging from physical processes to social dynamics. However, the advent of AI techniques, such as machine learning, deep learning, and natural language processing, has introduced a new paradigm, empowering computational methods with enhanced problem-solving capabilities. These intelligent algorithms can process vast amounts of data, extract meaningful patterns, and make accurate predictions, thus augmenting the traditional computational methods with unprecedented efficiency and accuracy.

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