SIMBEYOND | Category: OLED

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Advanced Simulationsthat impact the physical world.

Our products and services will allow you to accelerate your OLED R&D and facilitates co-development between material suppliers and device manufracturers.

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Clarifying the mechanism of triplet–triplet annihilation

Förster-mediated mechanisms and efficiency

Scientific publication,OLED,Bumblebee

Efficiency roll-off of a multilayer white OLED

Scientific publication,OLED,Bumblebee

Triplet-polaron quenching in phosphorescent OLEDs

Scientific publication,OLED,Bumblebee

Triplet-triplet annihilation in phosphorescent emitters

Scientific publication,Bumblebee,Materials

Kinetic monte carlo study of sensitivity of OLED efficiency and lifetime to materials parameters coehorn van eersel, bobbert janssen

Sensitivity of OLED efficiency and lifetime to material parameters

Scientific publication,OLED,Bumblebee

Electroluminescence in multilayer white OLEDs

Scientific publication,OLED,Bumblebee

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Cloudbee System Requirements

A recent browser
WebGL support for interactive visualization

Bumblebee System Requirements

Runs on Linux, Unix, MacOS X and Microsoft Windows
Recent x64 and ARM platforms
At least 1 GB of RAM per core recommended
At least 16 CPU cores recommended
No need for MPI
Support for PBE and Sun Grid Engine queuing systems

Cloudbee Technical Specifications

Cloud computing from your laptop
Kinetic Monte Carlo simulation
Mechanistic approach based on physical parameters
Highly optimized code base written in C++
- scalable: >10⁷ molecules feasible and realistic
- simulations with >10⁴ charge carriers and excitons possible
Customizable Python-based pre- and post-processing

Bumblebee Technical Specifications

Kinetic Monte Carlo simulation
Mechanistic approach based on physical parameters
Highly optimized code base written in C++
- scalable: >10⁷ molecules feasible and realistic
- simulations with >10⁴ charge carriers and excitons possible
Customizable Python-based pre- and post-processing