WebWe present a deep-learning framework, CrysXPP, to allow rapid prediction of electronic, magnetic and elastic properties of a wide range of materials with reasonable precision. … WebApr 22, 2024 · CrysXPP lowers the need for a large volume of tagged data to train a deep learning model by intelligently designing an autoencoder CrysAE and passing the …
Cryx - LOS Warmachine University
WebDec 9, 2024 · CrysX – AR. CrysX – AR is an Android app that let’s you visualize molecules and crystals in Augmented Reality. The tool is powered by Google ARCore. The app can … Web摘要: 我们提出了一个深度学习框架CrysXPP,可以快速准确地预测各种材料的电子、磁性和弹性性质。 CrysXPP 通过智能设计自动编码器CrysAE降低了对大型属性标记数据集的需求。CrysAE从大量可用的晶体图数据中捕获的重要结构和化学特性有助于实现低预测误差。 canadian goose droppings
npj Computational Materials
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