EMITTING SQUARE Unveils the Industry’s First AI-Driven Platform for Automated OLED R&D - EMITTING SQUARE

What is DELO?

OLED research is becoming increasingly complex as modern devices incorporate multilayer architectures, advanced emissive materials, and intricate exciton dynamics. Researchers must interpret large volumes of experimental and simulation data while simultaneously analyzing charge transport, recombination mechanisms, and device degradation processes.

Today we introduce DELO, an AI-driven software platform developed by EMITTING SQUARE to simplify and accelerate OLED research and development.

DELO integrates physics-based device simulation, automated parameter extraction, and AI-assisted data analysis into a unified research environment. By connecting simulation models with experimental datasets, the platform enables researchers to interpret complex OLED data more efficiently and extract meaningful scientific insight.

Rather than relying on fragmented tools and time-consuming manual analysis, DELO provides a single environment where simulation, data analysis, and scientific discovery are seamlessly integrated.

The DELO Software Platform

The DELO platform is designed to support multiple stages of the OLED research workflow.

From device-physics simulation to automated parameter extraction and AI-assisted scientific analysis, each module contributes to accelerating device understanding and optimization. Together, these components create a unified research ecosystem that connects experimental datasets, simulation models, and AI-driven analysis.

Core Modules of DELO

DELO-Sim: Physics based device simulation

DELO-Sim provides physics-based modeling of OLED devices, enabling researchers to simulate charge transport, exciton generation, recombination dynamics, and optical emission processes within complex multilayer architectures. By reproducing key device behaviors in simulation, researchers can explore device structures and material systems before experimental fabrication.

DELO-Fit: Automated Parameter Extraction

DELO-Fit automatically calibrates simulation models using experimental datasets. By aligning simulated device characteristics with measured data, the platform enables rapid extraction of physically meaningful device parameters without the need for time-consuming manual fitting.

DELO-Gen: AI-Driven Data Synthesis

DELO-Gen applies AI-driven analysis to simulation and experimental datasets to explore optimal device configurations. The system refines simulation parameters, compensates for incomplete datasets, and identifies performance-limiting mechanisms within OLED devices. By continuously analyzing device behavior, DELO-Gen helps researchers explore improved material combinations and device structures.

DELO-Papers: AI Research Assistant

DELO-Papers supports researchers in reviewing and organizing scientific literature. The system summarizes research articles according to user-defined criteria and identifies relevant studies beyond only the primary reported results. By organizing research trends across multiple publications, DELO-Papers assists in literature review and helps researchers prepare structured drafts for technical reports and scientific manuscripts.

Toward a unified research workflow

Together, these modules transform DELO into an integrated platform for OLED research. By combining physics-based simulation, automated model calibration, and AI-driven analysis, the platform helps researchers interpret complex datasets, explore device design spaces, and accelerate the development of next-generation OLED technologies.