When simulations fall short, this spectrometer learns for itself

Researchers at Aarhus University connected a dynamic nuclear polarization spectrometer to a Bayesian optimization algorithm. The algorithm tests microwave pulse sequences directly on physical samples without prior spin simulations. In a complex spin system, the learned sequence produced 70 percent greater signal enhancement than the reference method.

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