five

“Slim” Benchmark Sets for Faster Method Development

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/_Slim_Benchmark_Sets_for_Faster_Method_Development/29330066
下载链接
链接失效反馈
官方服务:
资源简介:
The construction of large benchmark sets has accelerated advancement of quantum chemistry methods, especially in density functional theory and lower-cost methods. However, these large benchmark sets can be unsuitable for cutting-edge method development, because research codes developed for fundamentally new approaches are often inefficient and may consequently struggle to handle large molecules. Here, we introduce Slim benchmark sets that are designed to ‘summarize’ the statistics of larger (in number and size of molecules) counterparts, but have the advantage that molecules are restricted in size (to 5, 16, and 20 atoms) and may therefore be treated by inefficient implementations. Remarkably, our 16 and 20 atom Slim sets effectively summarize reactions involving much larger numbers of atoms. They thereby allow data-driven methodologies to be exploited in the early stages of cutting-edge method development.
创建时间:
2025-06-16
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