Research data supporting High-throughput superconducting Tc predictions through density of states rescaling
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下载链接：
https://www.repository.cam.ac.uk/handle/1810/389559
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资源简介：
Project is aimed at accelerating high-throughput superconducting Tc calculations, by applying a factor to accelerate the convergence. This is driven by physical insight of the Eliashberg spectral function. Data is text output files with the DFT code inputs and outputs Data was generated using the Quantum Espresso 7,2 (https://www.quantum-espresso.org/) suite of codes. Postprocessing was performed with the lambda and a2tc codes, and plotting was performed using python scripts included in the dataset. Detailed information is given within the README files within the directories
提供机构：
Apollo - University of Cambridge Repository
创建时间：
2025-09-17
