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Caterpillar and Argonne Use HPC to Simulate Better Efficiency, Reduced Emissions in Diesel Engines

Heavy-duty diesel engines power most large vehicles used in the construction, mining and transportation industries in the United States. To tackle problems of fuel efficiency and pollution, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory joined forces with Caterpillar Inc., manufacturer of construction and mining equipment, using Argonne’s HPC resources, to develop designs […]

Machine Learning Award Powers Engine Design at Argonne

Over at Argonne, Jared Sagoff writes that automotive manufacturers are leveraging the power of DOE supercomputers to simulate the combustion engines of the future. “As part of a partnership between the Argonne, Convergent Science, and Parallel Works, engine modelers are beginning to use machine learning algorithms and artificial intelligence to optimize their simulations. Now, this alliance recently received a Technology Commercialization Fund award from the DOE to complete this important project.”

Allinea Forge Sparks Convergent Science Combustion Simulation

Convergent Science reports that the company has adopted the Allinea Forge development tool suite. As the leader in internal combustion engine (ICE) simulation, Convergent Science is using Allinea to increase the capability and performance of the company’s CONVERGE software.