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Found 3 papers, 3 papers with code
Unified Model for Crystalline Material Generation
One of the greatest challenges facing our society is the discovery of new innovative crystal materials with specific properties.
Optimized Crystallographic Graph Generation for Material Science
With the aim of training graph-based generative models of new material discovery, we propose an efficient tool to generate cutoff graphs and k-nearest-neighbours graphs of periodic structures within GPU optimization.
Mind2Mind : transfer learning for GANs
Training generative adversarial networks (GANs) on high quality (HQ) images involves important computing resources.
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