# Solution-Processed OLEDs: A Critical Review and Methodology Proposal for Stack Optimization

## TL;DR

This paper reviews and proposes a new method for optimizing solution-processed OLEDs to improve their design and reproducibility.

## Contribution

A Monte Carlo-based optimization framework is introduced to formalize stack selection in solution-processed OLEDs.

## Key findings

- Inconsistent documentation and solvent interactions complicate material selection in solution-processed OLEDs.
- A Monte Carlo framework is proposed to explore viable material combinations based on empirical constraints.
- The study advocates for a structured, reproducibility-focused approach to OLED design.

## Abstract

Solution-processed OLEDs represent a low-cost, scalable alternative to vacuum-deposited devices, particularly for flexible and large-scale applications. However, selecting compatible materials for each layer remains a complex task, further complicated by inconsistent documentation, solvent interactions, and limited reproducibility across the literature. This work presents a literature review and critical analysis of materials, solvents, and fabrication methods involved in solution-processed OLEDs, with particular attention to layer formulation, solvent orthogonality, and processing constraints. A Monte Carlo-based optimization framework is introduced as a proof of concept, aiming to formalize stack selection and explore viable combinations based on empirical constraints. The critical analysis highlights recurring issues in the field and advocates for a more structured, reproducibility-oriented approach to OLED design.