Skip to content

raymond-yiqunwang/deepKNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

deepKNet

PointNet-based 3D deep learning model designed for decoding the structure-property relationship for generic crystalline materials.

Readers with interest should directly contact the corresponding author Raymond Wang for more information and we are open for collaborations.

raymondwang@u.northwestern.edu

Please cite the following work if you want to use the deepKNet.

@article{wang2021learning,
  title={Learning the Crystal Structure Genome for Property Classifications},
  author={Wang, Yiqun and Zhang, Xiao-Jie and Xia, Fei and Olivetti, Elsa A and Seshadri, Ram and Rondinelli, James M},
  journal={arXiv preprint arXiv:2101.01773},
  year={2021}
}

About

PointNet-based 3D deep learning model designed for decoding the structure-property relationship for generic crystalline materials.

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages