一个可逆的,不变的晶体表示,用于固态材料的反向设计,使用生成深度学习
Hang Xiao1, Rong Li2, Xiaoyang Shi3
1School of Interdisciplinary Studies, Lingnan University, Tuen Mun, Hong Kong SAR, China.
Nature communications
|November 3, 2023
概括
研究人员开发了一种简化的线路输入晶体编码系统 (SLICES),用于材料发现. 这种可逆和不变的晶体表示使得固态材料的反向设计具有所需的特性.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 固态物理 固态物理
背景情况:
- 深度学习已经推进了分子设计,使用像简化分子输入线路输入系统 (SMILES) 这样的表示.
- 由于缺乏合适的晶体表征,设计具有特定性质的固态材料仍然具有挑战性.
- 现有的方法缺乏晶体结构的可逆性和不变性,阻碍了反向设计.
研究的目的:
- 开发一种可逆和不变的晶体表示,用于高效的材料设计.
- 为了实现具有目标性质的固态材料的反向设计.
- 在计算材料发现中解决当前晶体结构表示的局限性.
主要方法:
- 开发了一个简化的线路输入晶体编码系统 (SLICES),基于字符串的表示.
- 保证的SLICES通过编码组成和拓数据来满足转换,旋转和变换的不变性.
- 通过对各种晶体结构的重建程序验证了SLICES.
主要成果:
- 在超过4万个不同的晶体结构中,SLICES实现了94.95%的重建精度,证明了高的反转性.
- 通过专注于组合和拓信息,表示保证了不变性.
- 成功地将SLICES应用于光电子直接窄间隙半导体的反向设计.
结论:
- SLICES提供了一个有效的,基于字符串的,可逆的和不变的晶体表示.
- 这种新的表征方便在材料的发现和反向设计.
- 对于推进功能固态材料的设计,SLICES显示出显著的前景.
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