The paper uses a neural network to map alkali atom ground states and operating conditions to excited states, and concludes that T/T0 is not a sufficient metric for engine performance.
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Predicting Electromagnetically Induced Transparency based Cold Atomic Engines using Deep Learning
The paper uses a neural network to map alkali atom ground states and operating conditions to excited states, and concludes that T/T0 is not a sufficient metric for engine performance.