five

Data for article: "ADAQ: Automatic workflows for magneto-optical properties of point defects in semiconductors"

收藏
DataCite Commons2025-05-01 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/Data_for_article_ADAQ_Automatic_workflows_for_magneto-optical_properties_of_point_defects_in_semiconductors_/14534067/2
下载链接
链接失效反馈
官方服务:
资源简介:
The SQLite database containing data for the silicon vacancy configurations presented in the paper "ADAQ: Automatic workflows for magneto-optical properties of point defects in semiconductors".<br>Here is a guide to where to find the data in the SQLite database used to make the figures and tables resented in the ADAQ paper:*Data for Figure 6 is found under multiple tables. The host supercell energy is found in table HostSuperCellResult, column total_energy. The defect supercell energy is found in table GroundStateResults under column total_energy. The chemical potentials are found in table ChemicalPotential. The charge transition levels are found in table ChargeTransitionLevels.*Data for Figure 7 is found under table TransitionResult. The x-axis data is the column transition_energy, and the y-axis data is the column transition_intensity squared. Column transition shows if it is bound-to-bound, free-to-bound, or bound-to-free. Column step shows which part of the excitation cycle (abs,ex1,ex2,ems).*Data for Figure 8 is found under table BandData with the underlying table for eigenvalues and IPR.*Data for Table I is found under TransitionResult.*Data for Table II is found under HyperFineParameters.*Data for Table III is found under ZeroFieldSplitting.*Data for Table IV is found under ScreenResult.<br>The TransitionResult table is also saved as a CSV file.<br>The generated VASP output files from both the screening and full characterization workflow are also presented. This output is generated by ADAQ and httk. For more info about ADAQ: https://httk.org/adaq/.
提供机构:
figshare
创建时间:
2021-08-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作