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Publication Year: 2022

141 to 150 of 14,977 Results

Figure 4.jpg Dec 1, 2022 - Tetra-Fish-Inspired aesthetic thermochromic windows toward Energy-Saving buildings JPEG Image - 195.1 KB - MD5: 3b8fefbed24ef6ecfd76cf8fd1786a25 Fig. 4. a) The typical office building and the selected cities with different latitudes in the Asia Pacific area for the building energy simulation. b-i) Monthly and annual HVAC energy consumption of the typical office building using windows based on the normal glass, 200-, 500-,...
Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design 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...
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.
fig.3.tar.gz 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 Data for replication and high-resolution image for Figure 3.
fig.4.tar.gz Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design Gzip Archive - 5.9 MB - MD5: a8a4cf15137ba22549cc29b6d4fd434c Data Data for replication and high-resolution image for Figure 4.
fig.5.tar.gz Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design Gzip Archive - 13.5 MB - MD5: 30e88c05b25b61718131da0218aa774c Data Data for replication and high-resolution image for Figure 5.
fig.SI.tar.gz Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design Gzip Archive - 20.7 MB - MD5: b24bc793eb704a234c11e755bac3d778 Data Data for replication and high-resolution images for Supplementary Figures (total of 3 figures).
HOIP_database_DRYAD.rar Dec 1, 2022 - Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design RAR Archive - 4.0 MB - MD5: 46e50cda8b9f3d7b3605c8d2b90face8 Data database of perovskites for Figure 4, Figure 5, and Supplementary Figures (total of 3 figures).

Figure 4.jpg

Dec 1, 2022 - Tetra-Fish-Inspired aesthetic thermochromic windows toward Energy-Saving buildings

JPEG Image - 195.1 KB -

Fig. 4. a) The typical office building and the selected cities with different latitudes in the Asia Pacific area for the building energy simulation. b-i) Monthly and annual HVAC energy consumption of the typical office building using windows based on the normal glass, 200-, 500-,...

Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design

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...

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 -

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 -

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