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City University of Hong Kong
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High-contrast dielectric honeycombs exhibit robust Dirac points that persist across a range of inclusion sizes, defying typical degeneracy breaking.
Physics engines do not need to be replaced by black-box neural networks—patching them with Bayesian-inferred code enables robots to actively discover missing physical mechanisms with drastically fewer real-world interactions.