5 days ago
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Physicists have used a machine learning approach to reveal unexpected details about how particles interact in complex systems. Their work focuses on non-reciprocal forces, where one particle influences another differently than it is influenced in return.
The findings, published in PNAS, come from a collaboration between experimental and theoretical physicists at Emory University. By combining a custom neural network with laboratory data from a dusty p...
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