Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water
Machine learning and data-driven methods have attracted a significant amount of attention for the acceleration of the design of molecules and materials. In this study, a material design protocol based on multimode modeling that combines literature modeling, numerical data collection, textual descrip...
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Veröffentlicht in: | ACS applied materials & interfaces 2024-09, Vol.16 (38), p.51595-51607 |
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Sprache: | eng |
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