Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information
Abstract Vacancy-ordered double perovskites (VODPs) are promising alternatives to three-dimensional lead halide perovskites for optoelectronic applications. Mixing these materials creates a vast compositional space for tunable properties but complicates efficient screening of target candidates. Here...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01667-6 |
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