231 to 240 of 818 Results
Feb 24, 2023 -
Replication Data for: Expanding the Low-Dimensional Interface Engineering Toolbox for Efficient Perovskite Solar Cells
RAR Archive - 55.1 KB -
MD5: d642a169abf14f02b10e751a301b293f
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Feb 24, 2023 -
Replication Data for: Expanding the Low-Dimensional Interface Engineering Toolbox for Efficient Perovskite Solar Cells
RAR Archive - 15.0 KB -
MD5: 26727a423022a7d35b69d1de4bb3f15e
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Feb 24, 2023 -
Replication Data for: Expanding the Low-Dimensional Interface Engineering Toolbox for Efficient Perovskite Solar Cells
RAR Archive - 80.2 KB -
MD5: 9139a12ad3e3870806ffb75156b1156c
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Feb 24, 2023 -
Replication Data for: Expanding the Low-Dimensional Interface Engineering Toolbox for Efficient Perovskite Solar Cells
RAR Archive - 29.6 KB -
MD5: e0aa503f9e3b7a634a29597477e95057
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Feb 24, 2023 -
Replication Data for: Expanding the Low-Dimensional Interface Engineering Toolbox for Efficient Perovskite Solar Cells
RAR Archive - 66.7 KB -
MD5: 9175b74910eb25a0531921b63f646ad3
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Dec 1, 2022 - XU Qiang
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... |
Dec 1, 2022 -
Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Gzip Archive - 343.2 MB -
MD5: 0bcf23fc88dbd16fbdc0d5d323992e6a
raw data of dielectric constant of perovskites |
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 for replication and high-resolution image for Figure 1. |
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 for replication and high-resolution image for Figure 2. |
Dec 1, 2022 -
Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design
Gzip Archive - 145.0 MB -
MD5: ac66dbfec0a934904112ca2a8ab2f7a9
Data for replication and high-resolution image for Figure 3. |
