School of Materials Science and Engineering (MSE)

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41 to 50 of 7,961 Results

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
Benchmark-3-kUpCCGSD-Tier1-ipynb-09042026.ipynb Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations Jupyter Notebook - 119.9 KB - MD5: 1ba8e13a293df80fb017384f82d11fd3 Benchmark VQE using kUpCCGSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
Noiseless-comp-cost-Tier1-png-08042026 Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations PNG Image - 215.3 KB - MD5: d2d913e58a411cf2e2a1cf75a966b23e Noiseless computation cost of min energy calculated using VQE
Rafika RAHMAWATI (Nanyang Technological University) Apr 8, 2026 Data for Tier 1 Project

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 -

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 -

README.txt

May 27, 2026 - Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives

Plain Text - 1.3 KB -

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