School of Physical and Mathematical Sciences (SPMS)

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6,481 to 6,490 of 8,106 Results

test_OllivierRicci.py Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Python Source Code - 6.9 KB - MD5: 531e0d101487caf5f575cb49044d318e
toc.png Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction PNG Image - 1.3 MB - MD5: 3fdde7d531bac919d897330325b52fce
.travis.yml Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Unknown - 2.9 KB - MD5: 5ad1d3a160cf6d8b0fd063c0354a124b
tutorial.ipynb Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Jupyter Notebook - 489.0 KB - MD5: 8dc358a854f301ead92eb12e39d87843
tutorial.nblink Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Unknown - 48 B - MD5: 61315247e0b55ff9467f8ef155cc5ee4
util.py Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction Python Source Code - 3.8 KB - MD5: e520b87adfadf19d7cb7f6765c6c2bd4
Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules Mar 29, 2021 - LIM Jia Wei Melvin Lim, Jia Wei Melvin, 2021, "Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules", https://doi.org/10.21979/N9/TVMWCH, DR-NTU (Data), V1 The rapid improvement in the power conversion efficiency (PCE) of perovskite solar cells (PSCs) has prompted interest in bringing the technology toward commercialization. Capitalizing on existing industrial processes facilitates the transition from laboratory to production lines....
Fig 1D & E.rar Mar 29, 2021 - Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules RAR Archive - 4.2 MB - MD5: b56bbf95b7a001f30f45c47b5ddd6622 Raw data for Figure 1D and E in the manuscript
Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect Mar 20, 2021 - Giorgio ADAMO Sun, Xinxing; Adamo, Giorgio; Eginligil, Mustafa; Krishnamoorthy, Harish N. S.; Zheludev, Nikolay I.; Soci, Cesare, 2021, "Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect", https://doi.org/10.21979/N9/U9UXXV, DR-NTU (Data), V1 Data for the paper: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect
Figures.pptx Mar 20, 2021 - Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect MS Powerpoint - 2.0 MB - MD5: 01cf914d4b13f4442069fd257ce4f2c1 Main manuscript figures. All graphs and their data of the figures will open in Origin, upon double click on them.

test_OllivierRicci.py

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Python Source Code - 6.9 KB -

toc.png

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

PNG Image - 1.3 MB -

.travis.yml

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Unknown - 2.9 KB -

tutorial.ipynb

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Jupyter Notebook - 489.0 KB -

tutorial.nblink

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Unknown - 48 B -

util.py

Apr 2, 2021 - Replication Data for: Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

Python Source Code - 3.8 KB -

Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules

Mar 29, 2021 - LIM Jia Wei Melvin

Lim, Jia Wei Melvin, 2021, "Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules", https://doi.org/10.21979/N9/TVMWCH, DR-NTU (Data), V1

The rapid improvement in the power conversion efficiency (PCE) of perovskite solar cells (PSCs) has prompted interest in bringing the technology toward commercialization. Capitalizing on existing industrial processes facilitates the transition from laboratory to production lines....

Fig 1D & E.rar

Mar 29, 2021 - Replication Data for: Highly Efficient Thermally Co-evaporated Perovskite Solar Cells and Mini-modules

RAR Archive - 4.2 MB -

Raw data for Figure 1D and E in the manuscript

Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect

Mar 20, 2021 - Giorgio ADAMO

Sun, Xinxing; Adamo, Giorgio; Eginligil, Mustafa; Krishnamoorthy, Harish N. S.; Zheludev, Nikolay I.; Soci, Cesare, 2021, "Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect", https://doi.org/10.21979/N9/U9UXXV, DR-NTU (Data), V1

Data for the paper: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect

Figures.pptx

Mar 20, 2021 - Related data for: Topological Insulator Metamaterial with Giant Circular Photogalvanic Effect

MS Powerpoint - 2.0 MB -

Main manuscript figures. All graphs and their data of the figures will open in Origin, upon double click on them.

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