Select Language

公开数据集

超导数据集

超导数据集

Scene:

Physical

Data Type:

Regression
所需积分:6 去赚积分?
  • 282浏览
  • 1下载
  • 0点赞
  • 收藏
  • 分享

Data Preview ? 7.9M

    Data Structure ?

    *数据结构实际以真实数据为准

    Kam Ham idieh, khamidieh '@' gmail.com, University of Pennsylvania, Statistics


    Data Set Information:

    There are two files: (1) train.csv contains 81 features extracted from 21263 superconductors along with the critical temperature in the 82nd column, (2) unique_m.csv contains the chemical formula broken up for all the 21263 superconductors from the train.csv file.  The last two columns have the critical temperature and chemical formula.  The original data comes from [Web link] which is public.  The goal here is to predict the critical temperature based on the features extracted.


    Attribute Information:

    Please see the relevant paper for the feature explanations.


    Relevant Papers:

    Hamidieh, Kam, A data-driven statistical model for predicting the critical temperature of a superconductor, Computational Materials Science, Volume 154, November 2018, Pages 346-354, [Web link]



    Citation Request:

    Hamidieh, Kam, A data-driven statistical model for predicting the critical temperature of a superconductor, Computational Materials Science, Volume 154, November 2018, Pages 346-354, [Web link]

    0相关评论
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。