Optimisation of perovskite cell with the help of machine learning
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TextLanguage: English Publication details: Bhubaneswar: NISER, 2022 Description: 51p. hbSubject(s): PEROVSKITES SOLAR CELL | MACHINE LEARNING | SHOCKLEY- QUEISSER LIMIT | LINEAR REGRESSION | RANDOM FORESTDDC classification: 549.641
| Item type | Current library | Call number | Status | Date due | Barcode |
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Thesis
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NISER LIBRARY | 549.641 SAJ-O (Browse shelf(Opens below)) | Available | T293 |
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| 549:543.42 HEN-S Spectroscopic methods in mineralogy and materials sciences | 549:543.42 HEN-S Spectroscopic methods in mineralogy and materials sciences | 549.641 MAH-S Synthesis and analysis of lead halide pervoskites | 549.641 SAJ-O Optimisation of perovskite cell with the help of machine learning | 549.641 SET-C Chitosan mediated organic-inorganic hybrid perovskite nanocrystal: | 549.641 TIL-P Perovskites | 549.641 TIL-P Perovskites |
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