So the materials parameter space has a theoretically identified gradient toward room temperature superconductivity which is compute-tractable, as just demonstrated by LBNL, and there hasn’t been an all-out effort to throw massive gradient descent (such as Adaptive Simulated Annealing to avoid local minima traps) ML at the problem?
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