organic electronics

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• 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

• 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

• 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

• A recent browser
• WebGL support for interactive visualization

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