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