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Unknown - 1.6 MB - MD5: 97988d8589014883dab8d667799f527f
Unknown - 1.6 MB - MD5: 07aeb4342562d7844090463467622687
Unknown - 1.6 MB - MD5: 4c9b6bb49301afffee2d46cb9267fd08
Unknown - 1.6 MB - MD5: 4d6913cff414be5c3b7a3dbf79e45077
Unknown - 1.6 MB - MD5: 73e46a126097497b33a133cec4f7d6ee
Unknown - 1.6 MB - MD5: d3159724acb1b2f0b491425c37798930
Unknown - 1.6 MB - MD5: 7ffb2bcbed4ea8c33f3db1c3e5834ee3
Unknown - 1.6 MB - MD5: d2aa2df7cc7b4f7a1aa7f40bdf758181
TAR Archive - 322.8 MB - MD5: 9dce4a0686b165e9629559a1d552d117
Mar 22, 2021 - Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces
Li, Shuzhou, 2021, "Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project", https://doi.org/10.21979/N9/9WIQMA, DR-NTU (Data), V1
Data from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project. Mainly Gromacs raw data.
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