Software and Datasets for "Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning"
收藏DataCite Commons2024-02-26 更新2025-04-15 收录
下载链接：
https://www.materialsdatafacility.org/detail/rtdftplusai_v1.1
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资源简介：
The software associated with a publication showing how to quickly assess the electronic stopping power of a material using a combination of simulation and machine learning. This publication is a snapshot of [our GitHub repository](https://github.com/globus-labs/stopping-power-ml/tree/mdfv231027) including the intermediate files used to communicate between each notebook.
提供机构：
Materials Data Facility
创建时间：
2023-10-27
