Advancements in Coupling Simulation and Artificial Intelligence: Methods, Applications, and Future Directions

Dear Colleagues,

The intersection of simulation and artificial intelligence (AI) has become a burgeoning area of research, promising to revolutionize various industries by enhancing predictive capabilities, optimizing processes, and enabling smarter decision making. This Topic aims to gather multidisciplinary research that explores the integration of simulation techniques with AI methodologies, fostering collaboration among scholars from computer science, engineering, applied mathematics, and other relevant fields. This Topic focuses on the innovative convergence of simulation and AI, addressing both theoretical advancements and practical applications.

We invite contributions that cover, but are not limited to, the following areas:

• Development of AI-enhanced simulation models;
• Integration of machine learning algorithms with traditional simulation techniques;
• Applications of coupled simulation–AI in healthcare, manufacturing, finance, and other industries;
• Comparative studies of simulation methods with and without AI integration;
• Case studies demonstrating the impact of AI-driven simulations in real-world scenarios;
• Novel frameworks and tools for implementing AI in simulation environments;
• Ethical considerations and challenges in the integration of AI with simulation.

We encourage submissions that present original research, comprehensive reviews, case studies, and perspectives that will collectively enhance our understanding of how AI can be effectively coupled with simulation to solve complex problems.

Prof. Dr. Greg Zacharewicz
Prof. Dr. Nicolas Daclin
Dr. Vittorio Solina
Dr. Diana Maria Torres Ricaurte
Topic Editors