PREDICTION OF QUANTUM DESCRIPTOR VALUES IN BORON NITRIDE NANOCAGE-BASED MATERIALS USING ANN, CNN, AND RNN ALGORITHMS
This research aims to develop a method for predicting quantum descriptor values, specifically the HOMO-LUMO gap, in larger boron nitride nanocage materials using a machine learning approach. The dataset was obtained through DFT calculations on B12N12, B24N24, and B36N36 nanocages to determine the...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86934 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |