Published November 3, 2022 | Version v1
Dataset Open

Data for "Machine-learning-aided atomic structure identification of interfacial ionic hydrates from AFM images"

  • 1. Peking University
  • 2. Beijing Normal University
  • 3. Beijing Institute of Technology

Description

Dataset for Neural Network training and testing of paper entitled "Machine-learning-aided atomic structure identification of interfacial ionic hydrates from AFM images" (https://doi.org/10.1093/nsr/nwac282).

Each file contains named-dependent simulated AFM Images at different tip height and corresponding atomic structure file in POSCAR format. (See detailed description in the manuscript https://doi.org/10.1093/nsr/nwac282)

 

Files

K_Hydrates.zip

Files (19.1 GB)

Name Size Download all
md5:1f3b15399894aa0429373d381d1f32e3
660.5 MB Preview Download
md5:4492144b7929391d6124da576e0045c4
1.2 GB Preview Download
md5:1fcb4b5deae7a11351edb431b31fa2ce
3.7 GB Preview Download
md5:6dd6b5894c369b49e30f58a628c538f8
3.7 GB Preview Download
md5:25c72fef65d96a3b908710d3bc61c2c5
3.7 GB Preview Download
md5:3c9ad2f3e3482ddf5d8b06bfeb662d37
3.4 GB Preview Download
md5:4dee0e9ab9f7ec5bd464dcb389925ea8
2.8 GB Preview Download