Computer simulations are a critical part of the product design optimization process, allowing engineers to test various configurations and select the best design among the many different alternatives. But even at a facility like the U.S. Department of Energy's (DOE) Argonne National Laboratory, with its state-of-the-art resources, simulations can be very expensive and take a long time to run.
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Researchers develop machine-learning optimizer to slash product design costs
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