AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A detailed and in-depth characterization of symmetry increase is provided together with a principled framework for its reduction and practical guidelines for feature design to prevent harmful symmetry increases are proposed.
Crystals are cornerstone materials for semiconductors and renewable energy, yet their discovery is hindered by the prohibitive cost of Density Functional Theory (DFT). While geometric graph neural networks have advanced Crystal Structure Prediction (CSP) and energy estimation, existing methods treat these tasks as disp...
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