EMITTING SQUARE Unveils the Industry’s First AI-Driven Platform for Automated OLED R&D - EMITTING SQUARE
Redefining OLED research through integrated device simulation, automated parameter extraction, and advanced scientific analysis.
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 analyzing charge transport, recombination mechanisms, and device stability.
DELO is a software platform developed by EMITTING SQUARE to simplify and accelerate OLED research and development.
DELO integrates physics-based device simulation, automated parameter extraction, and data-driven analysis into a unified research environment. By connecting simulation models with experimental datasets, the platform enables efficient interpretation of complex OLED behavior and extraction of meaningful scientific insights.
Rather than relying on fragmented tools and manual analysis, DELO provides a single environment where simulation and data analysis are seamlessly integrated.
The DELO Software Platform
The DELO platform supports multiple stages of the OLED research workflow.
From device simulation to parameter extraction and large-scale data generation, each module contributes to improving device understanding and accelerating research efficiency. These components form a unified research ecosystem that connects experimental data and simulation models.
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: Large-Scale Device Data Generation
Engine for generating large-scale simulated device data from randomized device parameters, enabling dataset construction for modeling and analysis.
DELO-Papers: Research Insight Extraction and Trend Report
DELO-Papers analyzes multiple scientific papers and reference PDFs to extract key research insights.
The platform:
- Identifies core findings and relationships across studies
- Organizes scientific knowledge from multiple sources
- Enables structured understanding of research directions
By applying data mining to literature, DELO-Papers supports the generation of scientific trend reports and helps researchers efficiently understand large volumes of publications.
Toward a unified research workflow
Together, these modules establish DELO as an integrated platform for OLED research.
By combining simulation, parameter extraction, and large-scale data generation, DELO enables researchers to interpret complex datasets, explore device design spaces, and accelerate the development of next-generation OLED technologies.