Data-driven synthesis roadmap boosts chiroptical performance in chiral 2D perovskites

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Researchers from the University of Nevada Las Vegas, Lawrence Berkeley National Laboratory, International Kazakh-Turkish University, University of California and Argonne National Laboratory have developed a data-driven roadmap to reliably enhance the chiroptical response of chiral 2D metal halide perovskite (MHP) thin films. Chiral 2D MHPs are emerging as a versatile materials platform for advanced optoelectronic and spin-optoelectronic devices, but their absorption dissymmetry factor (g abs ), a key measure of interaction with circularly polarized light, has been notoriously difficult to reproduce across laboratories. By moving beyond empirical trial-and-error, the team established a comprehensive statistical framework that links synthesis conditions directly to chiroptical performance. The researchers combined Pearson’s correlation, ANOVA, and Gaussian process regression to systematically map how structural, morphological, and experimental parameters affect g abs . The analysis identifies solvent choice as the dominant synthesis “knob”: films processed from acetonitrile (ACN) show higher and more reproducible g abs values than those prepared from dimethylformamide (DMF) or mixed acetonitrile:dimethyl sulfoxide (ACN:DMSO) systems. For ACN-based films, the modeling further reveals clear optimization windows, where tuning annealing temperature and film thickness allows g abs to be maximized in a controlled manner rather than by intuition.