Invertible crystallographic representation for inorganic crystals via new API
This project aims to improve thermoelectric material identification and evaluation by utilizing the advanced machine-learning framework. We utilize the vast dataset of the Materials Project database, focusing on material properties including formation energy, band gap, and crystal structure, b...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/174589 |