ANALYSIS OF THE PHONON DENSITY OF STATES IN IRON SULFIDE MATERIALS USING A DEEP LEARNING APPROACH WITH EUCLIDEAN NEURAL NETWORKS
The author uses deep learning with Euclidean Neural Networks to predict the phonon density of states (PhDOS) of hexagonal FeS material. The aim is to understand phonon dynamics and the influence of structural and compositional factors on the thermal and mechanical properties of the material. Test...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/81532 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |