This dataverse is a collection of the School of Materials Science and Engineering’s research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

41 to 50 of 8,074 Results
Figure 5d. XRD of All Films.tab
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Tabular Data - 36.8 KB - 9 Variables, 504 Observations - UNF:6:G6tIBbXGANqt5hWwXjgOzw==
Figure S2. UV-vis of All Solutions.tab
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Tabular Data - 62.7 KB - 13 Variables, 504 Observations - UNF:6:sVB8G7aEeeQddxHqwfbssg==
Figure S3. UV-vis of All Precipitates.tab
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Tabular Data - 20.5 KB - 5 Variables, 404 Observations - UNF:6:MInzdXxbhptuSebUkqWsoQ==
Figure S4. UV-vis of BA (Thermal Stability).tab
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Tabular Data - 26.1 KB - 3 Variables, 530 Observations - UNF:6:8Rwus4q7OVuy6Cp+Q+moAQ==
README.txt
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Plain Text - 1.3 KB - MD5: a1a19d825d8476f3f91f17fda7b8c192
Documentation
Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
May 4, 2026 - TAN Li Yi
Tan, Li Yi, 2026, "Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting", https://doi.org/10.21979/N9/0EBMNO, DR-NTU (Data), V1, UNF:6:BFfoThAzHZSoffSc35HA7Q== [fileUNF]
Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
Ridges-Statistical Data-2026-05-04 L.Y. Tan et al..tab
May 4, 2026 - Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
Tabular Data - 181.6 KB - 12 Variables, 3605 Observations - UNF:6:BFfoThAzHZSoffSc35HA7Q==
Data
TAN Li Yi (Nanyang Technological University)
May 4, 2026
Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Apr 9, 2026 - Rafika RAHMAWATI
Rahmawati, Rafika; Li, Shuzhou, 2026, "Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations", https://doi.org/10.21979/N9/LDPUKT, DR-NTU (Data), V2
The provided data includes the general source code and its computational results.
Benchmark-1-UCCSD-Tier1-ipynb-09042026.ipynb
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Jupyter Notebook - 305.7 KB - MD5: 7efad5b4a45371e7b05eaf26fc37879e
Benchmark VQE using UCCSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.