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Crystal Craft
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Discover crystals like in Minecraft world!
已订阅
64
更新时间
2024-11-28
AI4SOpenLAMGradio材料科学
AI4SOpenLAMGradio材料科学
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Lei Wang
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APP介绍
使用手册
讨论区
App简介
我们致力于开发一个基础大原子模型,旨在促进材料设计与结构搜索的进程。在这一过程中,我们发现实验科学家的语言和视角与当前的人工智能技术和数据库进展并未能够有效连接。实验科学家在考虑元素替换、模板结构等方面时,往往需要与晶体对称性、合成工艺等进行深入的联系和探讨。
最佳实践
范例
- 输入:
- spacegroup:221;
- elements: Ba Ti O
- Wyckoff: a b d
- nsample: 4
- seed: 42
- temperature: 1.0
- nsweeps: 10
- 输出:
如上图所示。
参考文献
CrystalFormer的源代码:https://github.com/deepmodeling/CrystalFormer
CrystalFormer的原始文献:https://arxiv.org/abs/2403.15734
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MLMD是一款可视化的材料设计的机器学习平台软件,包含特征描述符重构、特征相关性分析、特征重要性排序等常用的特征工程算法,并可实现回归预测、分类预测和聚类、以及使用随机优化算法和基于贝叶斯的主动学习算法进行单目标或者多目标材料设计推荐文章
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