Advanced Functional Materials· 2026Q1
Tuning the Optoelectronic Properties of Wide Bandgap Perovskites: Data‐Driven Insights from Combinatorial Synthesis and High‐Throughput Experimentation
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- Q1SCImago
- 2026year
Short summary
A combinatorial workflow using sequential physical vapor deposition allows independent tuning of Cs/Pb and Br/Cl compositions in wide bandgap perovskites, identifying a Cs/Pb window of 1.05–1.20 for elevated PL yields and a high-energy optical transition as a key determinant for efficiency.
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Key points
- Established a combinatorial workflow using sequential physical vapor deposition for independent tuning of cation (Cs/Pb) and anion (Br/Cl) compositions in wide bandgap perovskites.
- Screened over 500 samples to identify a Cs/Pb ratio window of 1.05–1.20 associated with elevated photoluminescence (PL) yields.
- Discovered a high-energy optical transition as a robust determinant for high PL yields in these perovskites.
- Released a complete multimodal dataset to serve as an accessible benchmark for data-driven perovskite discovery.
AI-generated from the title and abstract; the full text is not read.
Abstract
ABSTRACT The discovery and optimization of wide‐bandgap lead halide perovskites (LHPs) is hindered by solution‐based workflows with limited scalability. Large compositional parameter spaces present an additional challenge for materials optimization. Here, we establish an integrated, combinatorial workflow based on sequential physical vapor deposition that enables independent tuning of cation (Cs/Pb) and anion (Br/Cl) compositions. Applying automated structural, compositional, and optical characterizations across >500 samples, regions of interest are rapidly screened in the quaternary Cs–Pb–Br–Cl space. From the screening, we establish a practical Cs/Pb window of 1.05–1.20 for wide bandgap perovskites, within which elevated PL yields were observed. Through in‐depth analysis of the data set, we uncover a high‐energy optical transition as a robust determinant for high PL yields. By combining mechanistic insight into the compositional origins of high PL efficiency with a fully integrated, high‐throughput screening framework, and by openly releasing the complete multimodal dataset, this work provides a broadly accessible benchmark to accelerate data‐driven discovery of wide‐bandgap perovskites.
The authors' abstract, as published at the source. Advanced Functional Materials, 2026 · DOI ↗
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Field: Electrical and Electronic Engineering
Electrical and Electronic EngineeringEngineering