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Figure 5c. UV-vis of All Films.tab
May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
Tabular Data - 53.2 KB - 9 Variables, 504 Observations - UNF:6:DMsxtxFrUaKkNP9/0rcZmQ==
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
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
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
Benchmark-2-HE-Tier1-ipynb-09042026.ipynb
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Jupyter Notebook - 599.4 KB - MD5: f7601afba1cea436f8cf9ab71e3ecc8a
Benchmark VQE using Hardware Efficient ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
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