Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...
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Scientists Produced a Particle of Light That Simultaneously Accessed 37 Different Dimensions
Here’s what you’ll learn when you read this story: The Greenberger–Horne–Zeilinger (GHZ) paradox describes how quantum theory cannot be described by local realistic descriptions. A new study takes ...
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