Sesame

Sesame solves the drift–diffusion–Poisson equations to model charge transport and optoelectronic behavior in one- and two-dimensional semiconductor devices.


Key Features:

  • Drift-Diffusion-Poisson Solver: Implements a drift–diffusion–Poisson solver for simulating charge transport in optoelectronic devices such as solar cells and LEDs.
  • Dimensional Flexibility: Models device architectures in one and two dimensions.
  • Extended Defects: Incorporates extended defects including grain boundaries and sample surfaces into simulations.
  • Parameter Space Exploration: Enables rapid exploration of system parameter spaces to evaluate parameter effects on device performance.
  • Visualization of Local Transport: Produces visualizations of local charge transport properties within devices for analysis of simulation results.

Scientific Applications:

  • Optoelectronic device simulation: Modeling performance and charge transport in devices such as solar cells and LEDs.
  • Polycrystalline materials and interfaces: Studying the impact of defects and material interfaces in polycrystalline systems, including CdS–CdTe heterojunction thin-film solar cells.

Methodology:

Sesame numerically solves the drift–diffusion–Poisson equations to simulate charge carrier dynamics in 1D and 2D semiconductor devices and has been benchmarked against other packages.

Topics

Details

Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/16/2021

Operations

Publications

Gaury B, Sun Y, Bermel P, Haney PM. Sesame: A 2-dimensional solar cell modeling tool. Solar Energy Materials and Solar Cells. 2019;198:53-62. doi:10.1016/j.solmat.2019.03.037. PMID:32116413. PMCID:PMC7047709.

PMID: 32116413
PMCID: PMC7047709
Funding: - National Institute of Standards and Technology Center for Nanoscale Science and Technology: 70NANB14H209 - Department of Energy: DE-EE0004946 - National Science Foundation: EEC 1454315