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The dataverse is used for the machine learning of perovskites. It includes the feature data of perovskites and molecular dynamics simulations.
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21 to 30 of 37 Results
Supplementary Fig4.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 133.6 KB - MD5: ace77011f5dae8de6ab20b362ccb1ac1
data for Supplementary Fig4
Supplementary Fig5.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 67.5 MB - MD5: aebe4caaa66bba6a26c33c9e412a102b
data for Supplementary Fig5
Supplementary Fig6.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 84.1 MB - MD5: c9e7849abda2faa1f7c7634dae4c1f7e
data for Supplementary Fig6
Supplementary Fig7.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 9.2 MB - MD5: 8ad229f44dda99817fcc68a152cbb990
data for Supplementary Fig7
Supplementary Fig8.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 84.9 MB - MD5: fe065fe7f9435d739e87c09b40e82cf8
data for Supplementary Fig8
Supplementary Fig9.rar
May 29, 2024 - Replication Data for: Organic and inorganic sublattice coupling in two-dimensional lead halide perovskites
RAR Archive - 23.8 MB - MD5: 3c50af5176ef09e77628bf42433e1520
data for Supplementary Fig9
Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Dec 1, 2022
Anand, D Vijay; Xu, Qiang; Wee, Junjie; Xia, Kelin; Sum, Tze Chien, 2022, "Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design", https://doi.org/10.21979/N9/CVJWZ9, DR-NTU (Data), V1
Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges. Data-driven ML is envisaged as a decisive enabler for new perovskite materia...
dfpt.tar.gz
Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Gzip Archive - 343.2 MB - MD5: 0bcf23fc88dbd16fbdc0d5d323992e6a
Data
raw data of dielectric constant of perovskites
fig.1.tar.gz
Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Gzip Archive - 1.1 MB - MD5: 5326d4c30ecf79a1bfc717450d1eabdc
Data
Data for replication and high-resolution image for Figure 1.
fig.2.tar.gz
Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Gzip Archive - 10.8 MB - MD5: 527b3b2e7d6b7addd214b58b187ed108
Data
Data for replication and high-resolution image for Figure 2.
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