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Constrained crystals deep convolutional generative adversarial network for the inverse style of crystal constructions To test our product on this structural transition path, we produce crystal structures with \(\sqrt three \mathrm / 8 \le \mu \le five\sqrt 3 \mathrm / eight \), and make use of the neural network experienced over to classify these