Comparison of High‐Performance Blue Perovskite Light‐Emitting Diodes by Using Data Envelopment Analysis

Blue perovskite light‐emitting diodes (PeLEDs) have emerged as promising candidates for next‐generation displays and lighting due to their high color purity and solution‐processable fabrication. However, challenges such as efficiency roll‐off, spectral instability, and high production costs hinder their commercialization. This study proposes a novel quantitative framework based on data envelopment analysis (DEA) to systematically evaluate the tradeoffs between performance and cost. By defining inputs and outputs, multiple DEA models, which include Charnes–Cooper–Rhodes (CCR), Banker–Charnes–Cooper (BCC), Slack‐Based Measure (SBM), and various super‐efficiency, were applied to identify optimal fabrication protocols. Results revealed that CsPbCl 3− x Br x quantum dots and (p‐FPEA) 2 Cs 1.5 Pb 2.5 Br 8.5 achieved full technical efficiency and high scale efficiency, indicating their suitability for scalable production. In contrast, materials like CsEuBr 3 exhibited significant inefficiencies due to input redundancy and synthesis defects. The nonradial SBM model uncovered nuanced inefficiencies undetected by traditional radial models, emphasizing the importance of slack variable analysis. Super‐efficiency models further highlighted distinctions in efficiency frontiers under varying scale assumptions. This work provides a systematic pathway to compare the materials design and fabrication processes, balancing cost‐effectiveness with performance. Future efforts should focus on defect passivation, multiobjective optimization, and experimental validation to bridge laboratory innovations with industrial scalability.