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Swifter simulations for modern science. All of it. 💡 Researchers from Sandia and Brown University introduce a universal way to accelerate virtually any kind of simulation using machine-learning algorithms. The team outlines how the simulator could speed up computer programs for everything from self-driving vehicle navigation to climate change research, in a recently published paper. “From a user standpoint, there’s no difference between running your simulation tool or running this accelerated simulation tool. It gives you exactly the same predictions. The difference is how much time it takes to get those results,” Sandia scientist Rémi Dingreville said. Learn more 👉https://bit.ly/4dKUPNW

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Brad Boyce

Senior Scientist | Past President of TMS

1mo

I’m thrilled to see this highlight of Remi Dingreville . Remi, his team, and collaborators are paving the way to the future of materials simulation!

Breanna Gallegos-Robinson y Schnedar

START HBCU - Securing Top Academic Research & Talent (START) at Historically Black Colleges and Universities (HBCU)

2mo

Go Remi!!!!!

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