Examinando por Autor "Wang, Jiantao"

Seleccione resultados tecleando las primeras letras
Mostrando 1 - 1 de 1
  • Miniatura
    Ítem
    Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys
    (Matter, 2023-07-25) Wang, Tonghui; Li, Ruipeng; Ardekani, Hossein; Serrano-Lujan, Lucia; Wang, Jiantao; Ramezani, Mahdi; Wilmington, Ryan; Chauhan, Mihirsinh; Epps, Robert; Darabi, Kasra; Guo, Boyu; Sun, Dali; Abolhasani, Milad; Gundogdu, Kenan; Amassian, Aram
    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.