TcESTIME:预测基于的高温超导体
Trinidad Novoa1,2, Matías E di Mauro1, Diego Inostroza1
1Laboratoire de Chimie Théorique (LCT), Sorbonne Université, CNRS 4 Pl. Jussieu Paris 75005 France trinidad.novoa_aguirre@sorbonne-universite.fr.
Chemical science
|November 27, 2024
概括
我们开发了TcESTIME,这是一个通过分析电子结构来快速预测基材料中高临界温度 (Tc) 超导性的代码. 这个工具可以更快地选新的超导体,超越昂贵的计算和视觉分析.
科学领域:
- 材料科学 是一种材料科学.
- 凝聚物质物理学 凝聚物质物理学
- 计算化学计算化学
背景情况:
- 超导性是20世纪的一个发现,在合成和表征新的高临界温度 (Tc) 材料方面面临着挑战.
- 理论预测是有价值的,但在计算上是昂贵的.
- 目前用于识别超导指标的现有方法,如网络值和分子性指数,依赖于视觉分析,限制了可扩展性.
研究的目的:
- 开发一种计算工具,用于对基于的超导体进行高通量选.
- 为了自动量化与高Tc相关的电子结构特征的量化.
- 为了建立一个更快的替代方案,以计算密集型的方法来预测超导.
主要方法:
- 开发了TcESTIME代码,实施周期算法,从电子结构计算网络值.
- 利用电子定位函数拓来确定电子移位通道 (网络值) 并量化分子存在.
- 将TcESTIME应用于基于的超导体的数据集,包括三元化合物.
主要成果:
- TcESTIME代码在几分钟内准确地估计了已知超导体如LaH10的Tc.
- 提出了Tc估计的新匹配,达到大约33K的误差.
- 证明了代码对潜在超导材料的高通量选的能力.
结论:
- TcESTIME提供了一个可扩展和高效的方法来识别潜在的高Tc超导体.
- 该代码促进了自动选,减少了对昂贵计算和主观视觉分析的依赖.
- 这项工作为加速发现新的基于的超导体奠定了基础.
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