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Scientists Use GenAI to Uncover New Insights in Materials Science

Scientists Use GenAI to Uncover New Insights in Materials Science
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Scientists use generative AI to answer complex questions in physics

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches. The work was led by researchers at MIT and the University of Basel.

Efficient Technique Developed at MIT Could Solve Partial Differential Equations for Various Applications

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function.To solve these

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