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341 to 350 of 846 Results
Figure 4d.tab
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
Tabular Data - 2.2 KB - 38 Variables, 13 Observations - UNF:6:KTB58EWh/ypq4XnU1OiGHg==
Figure 5a.tab
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
Tabular Data - 53.2 KB - 8 Variables, 1376 Observations - UNF:6:hD1QEsKXwULzLtE2aLXb3Q==
Figure 5b.tab
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
Tabular Data - 402 B - 15 Variables, 4 Observations - UNF:6:5smT5QUaGMj8tbwwxVzoNA==
Figure 5c.tab
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
Tabular Data - 192 B - 10 Variables, 1 Observations - UNF:6:31dfSQEJX4s4O7RIDgIaLg==
Figure 5d.tab
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
Tabular Data - 318 B - 9 Variables, 2 Observations - UNF:6:Xw0YqI1tIqYuDGeH7SNogA==
P2 Manuscript without marking.docx
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
MS Word - 1.5 MB - MD5: 9ffd1f8d4451538efc1d90b523cb86d1
P2 SI without marking.docx
Jun 6, 2022 - Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples
MS Word - 710.5 KB - MD5: ab39575d141da58d1ec56f492528f74d
Replication Data for: Tailoring the Energy Manifold of Quasi-2D Perovskites for Efficient Carrier Extraction
Jan 28, 2022 - RAMESH Sankaran
Ramesh, Sankaran, 2022, "Replication Data for: Tailoring the Energy Manifold of Quasi-2D Perovskites for Efficient Carrier Extraction", https://doi.org/10.21979/N9/YXVNNF, DR-NTU (Data), V1
Harvesting the excess energy from absorbed above bandgap photons is a promising approach to overcome the detailed balance limit for higher solar cell efficiencies. However, this remains very challenging for 2D layered halide perovskites as the fast excess energy loss competes eff...
Fig 1.zip
Jan 28, 2022 - Replication Data for: Tailoring the Energy Manifold of Quasi-2D Perovskites for Efficient Carrier Extraction
ZIP Archive - 10.0 MB - MD5: 418e8216160bf800658cf5ca4ae6a078
Consolidated files including raw data, processed data and raw figures for Figure 1
Fig 2.zip
Jan 28, 2022 - Replication Data for: Tailoring the Energy Manifold of Quasi-2D Perovskites for Efficient Carrier Extraction
ZIP Archive - 7.7 MB - MD5: 4db7650d9d9242ed26ab6ddebdc0cba3
Consolidated files including raw data, processed data and raw figures for Figure 2
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