Our Products: DELO


DELO Series

OLED Device Simulation for Intelligent R&D

Our Products

Since our inception at the Deep Learning & Organic Photonics Laboratory, EMITTING SQUARE has continuously advanced the frontier of OLED device simulation and physics-based analysis. Our proprietary DELO series - led by DELO-Sim, DELO-Fit and DELO-Gen - enhances R&D efficiency by providing precise physics based modeling and systematic data analysis for both laboratory scale and industrial scale OLED development.

Our Vision & Services

At the core of our innovation lies DELO, a physics based simulation platform designed to accelerate OLED research and development. By integrating device physics simulation, automated parameter extraction, and quantitative data analysis, DELO enables researchers to understand complex device behavior and efficiently explore next-generation OLED technologies. Through this integrated approach, EMITTING SQUARE aims to transform traditional research workflows into a more predictive, simulation driven environment for OLED innovation.

Unified Platform
Architecture

DELO is a singular, integrated software environment. Users can seamlessly switch between specialized modules and modes to handle every stage of OLED R&D within a unified workflow.

DELO-Sim (Core Mode) - Device Simulation

High-speed physics based simulation for predicting OLED device characteristics from given material and device parameters.

DELO-Fit (Add-on Mode) - Parameter Extraction

Automated extraction of physical device parameters from experimental data through inverse modeling.

DELO-Gen (Add-on Mode) - Data Generation

Simulation based engine for systematic parameter exploration and large-scale device data generation.

Scientific Foundation

DELO is grounded in peer reviewed research based on physics driven drift–diffusion modeling and kinetic simulations. The publications below demonstrate the scientific basis underlying our simulation framework and device analysis platform.

2026
Understanding the charge dynamics in organic light-emitting diodes using convolutional neural network
Jae-Min Kim, Junseop Lim, and and Jun Yeob Lee*
Chemical Engineering Journal 530, 173304 (2026)
2025
Synergistic control of hot exciton relaxation and exciton - polaron dispersion using a polaron retarder for long lifetime in thermally activated delayed fluorescent organic light-emitting diodes
Junseop Lim, Kyung Hyung Lee, Jae-Min Kim*
Advanced Optical Materials, 10, 2201575 (2022)
2026
Mobility balance in the light-emitting layer governs the polaron accumulation and operational stability of organic light-emitting diodes
Jae-Min Kim, Chang-Heon Lee, Jang-Joo Kim*
Applied Physics Letters, 111 (20), 203301 (2017)

Ready to Experience Scientific Certainty in OLED R&D?

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