EMITTING SQUARE Launches DELO Software to Automate Intellectual R&D for Next-Generation OLEDs - EMITTING SQUARE
AI-driven software integrating device physics, simulation, and automated research workflows to accelerate next-generation OLED innovation. The platform enables researchers to automate complex analysis and transform experimental and simulation data into actionable scientific insights.
The development of modern OLED devices is reaching a new level of complexity. Multilayer device architectures, advanced emissive materials, and intricate exciton dynamics are pushing the limits of traditional research workflows. Researchers must analyze charge transport, exciton formation, recombination dynamics, and degradation mechanisms simultaneously often across fragmented tools and manual analysis pipelines.
Today we are introducing DELO, a research platform designed to simplify and accelerate OLED device analysis.
DELO integrates physics-based simulation, automated parameter extraction, and AI-driven data analysis into a unified research environment. By bringing these capabilities together, DELO enables researchers to transform complex experimental and simulation data into actionable scientific insight.
Core Research Capabilities
- Physics-Based Device Simulation
DELO incorporates advanced OLED device physics models to simulate charge transport, exciton generation, recombination processes, and optical emission dynamics within complex multilayer architectures. - Automated Parameter Extraction:
The software platform automatically aligns simulation outputs with experimental measurements, enabling rapid extraction of physically meaningful parameters without time-consuming manual fitting. - AI-Assisted Research Workflows:
Machine learning algorithms analyze large experimental and simulation datasets to identify hidden correlations, helping researchers generate new hypotheses and accelerate device optimization.
AI-Driven Scientific Analysis
DELO transforms fragmented research data into structured scientific knowledge. By integrating device simulations, experimental datasets, and AI-based analytical models, the platform automatically analyzes complex OLED datasets including electrical characteristics, exciton dynamics, and degradation behaviors.
This enables researchers to gain deeper insight into device performance and failure mechanisms.
Accelerating OLED Innovation
By automating simulation workflows and advanced data analysis, DELO significantly reduces the time required to interpret experimental and simulation results. Researchers can rapidly explore device architectures, evaluate material systems, and identify performance-limiting mechanisms.
This shifts OLED research away from slow trial-and-error experimentation toward a more predictive research paradigm, where device behavior can be understood and optimized through integrated simulation and AI-driven analysis.
Toward Autonomous OLED Research
DELO represents a step toward autonomous research environments in OLED science. By combining physics-based simulation with AI-driven analysis, the platform helps researchers uncover key device mechanisms and explore design spaces that would otherwise be difficult to investigate through conventional experimentation alone.
