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An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning
Nature
The past decade has witnessed rapid progress in deep learning for molecular design, owing to the availability of invertible and invariant...
9 months ago
Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures
Nature
Autonomous materials discovery with desired properties is one of the ultimate goals for materials science, and the current studies have been...
38 months ago