Materials Project

doi:doi:10.57702/qjqlt1ys

Materials Project

The dataset used to train the crystal graph convolutional neural networks (CGCNN) model to visualize the compositional and structural similarities between materials in an arbitrary material space.

BibTex:

@dataset{Anubhav_Jain_and_Shyue_Ping_Ong_and_Geoffroy_Hautier_and_Wei_Chen_and_William_Davidson_Richards_and_Stephen_Dacek_and_Shreyas_Cholia_and_Dan_Gunter_and_David_Skinner_and_Gerbrand_Ceder_2024,
    abstract = {The dataset used to train the crystal graph convolutional neural networks (CGCNN) model to visualize the compositional and structural similarities between materials in an arbitrary material space.},
    author = {Anubhav Jain and Shyue Ping Ong and Geoffroy Hautier and Wei Chen and William Davidson Richards and Stephen Dacek and Shreyas Cholia and Dan Gunter and David Skinner and Gerbrand Ceder},
    doi = {10.57702/qjqlt1ys},
    institution = {No Organization},
    keyword = {'Composition', 'Crystal Structure', 'Crystal structures', 'Database', 'Materials Project', 'Materials Science', 'Materials properties', 'Structure', 'dataset', 'machine learning', 'materials properties'},
    month = {dec},
    publisher = {TIB},
    title = {Materials Project},
    url = {https://service.tib.eu/ldmservice/dataset/materials-project},
    year = {2024}
}