Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys

Tonghui Wang, Ruipeng Li, Hossein Ardekani, Lucía Serrano-Luján, Jiantao Wang, Mahdi Ramezani, Ryan Wilmington, Mihirsinh Chauhan, Robert W. Epps, Kasra Darabi, Boyu Guo, Dali Sun, Milad Abolhasani, Kenan Gundogdu, Aram Amassian

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


The vast chemical space of emerging semiconductors, like metal halide perovskites, and their varied requirements for semiconductor applications have rendered trial-and-error environmentally unsustainable. In this work, we demonstrate RoboMapper, a materials acceleration platform (MAP), that achieves 10-fold research acceleration by formulating and palletizing semiconductors on a chip, thereby allowing high-throughput (HT) measurements to generate quantitative structure-property relationships (QSPRs) considerably more efficiently and sustainably. We leverage the RoboMapper to construct QSPR maps for the mixed ion FA1−yCsyPb(I1−xBrx)3 halide perovskite in terms of structure, bandgap, and photostability with respect to its composition. We identify wide-bandgap alloys suitable for perovskite-Si hybrid tandem solar cells exhibiting a pure cubic perovskite phase with favorable defect chemistry while achieving superior stability at the target bandgap of ∼1.7 eV. RoboMapper's palletization strategy reduces environmental impacts of data generation in materials research by more than an order of magnitude, paving the way for sustainable data-driven materials research.
Original languageEnglish (US)
Pages (from-to)2963-2986
Number of pages24
Issue number9
StatePublished - Sep 6 2023
Externally publishedYes

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Generated from Scopus record by KAUST IRTS on 2023-10-23


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