NEW $1M GRANT TO BRIDGE EDUCATIO SIMULATION AND M
For decades, much of engineering research has focused on developing models and simulations based on physics and real-world properties that would produce data to confirm or reject a hypothesis. More recently, many engineering scholars have begun utilizing machine learning which relies on vast quantities of data and algorithms to eventually produce a hypothesis. Now, the United States Department of Education has awarded a $1 million-grant to Ching-Long Lin, Edward M. Mielnik and Samuel R. Harding Professor and chair of the Department of Mechanical Engineering at the University of Iowa, to develop artificial intelligence,
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modeling and simulation (AIMS) programs that will bridge the gap between these two research approaches. “As we train the next generation of engineers, we want to ensure that they have the full suite of research tools available to them,” said Lin. “By integrating modeling and simulation work with machine learning, we can apply the physical principles that are central to modeling and simulation with smart, intelligent machines that do not have access to real-world interactions.” This integration will result in a physics-informed neural network which will use physical principles in the
