A data fusion approach to optimize compositional stability of halide perovskites
Search for resource-efficient materials in vast compositional spaces is an outstanding challenge in creating environmentally stable perovskite semiconductors. We demonstrate a physics-constrained sequential learning framework to subsequently identify the most stable alloyed organic-inorganic perovsk...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2022
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Online Access: | https://hdl.handle.net/1721.1/139821.2 |