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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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Effects of exciton deconfinement on the transient photoluminescence from thermally activated delayed fluorescence host–guest systems

Scientific publication,Materials,TADF

Press release collaboration with SCM on Multiscale simulation for Organic Light Emitting Diodes (OLEDs): from molecule to device

Press release

Press release: Partnership with South China University of Technology

Press release

Efficiency loss processes in hyperfluorescent OLEDs: A kinetic Monte Carlo study

Scientific publication,OLED,Bumblebee,TADF

Effect of exciton diffusion on the triplet-triplet annihilation rate in organic semiconductor host-guest systems

Scientific publication,OLED,Materials

Effect of triplet confinement on triplet–triplet annihilation in organic phosphorescent host–guest systems

Scientific publication,Bumblebee,Materials

3D modeling of organic semiconductors at low voltage

Scientific publication,OLED,Bumblebee

Effect of Coulomb correlation on charge transport

Scientific publication,OLED,Bumblebee

Effect of polaron diffusion in disordered organic semiconductors

Scientific publication,OLED,Bumblebee

Förster-type triplet-polaron quenching in disordered organic semiconductors

Scientific publication,OLED,Bumblebee

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          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
          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 System Requirements
          • A recent browser
          • WebGL support for interactive visualization
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