# TEflow
A python3 package for streamlining thermoelectric workflow from materials to devices
## Features
- Model carrier transport
- Single parabolic band (SPB) model
- Single Kane band (SKB) model
- Multiple bands model
- Customized band model
- Debye model of lattice thermal conductivity
- Calculations & Fitting
- Scattering Mechanisms, e.g., three-phonon, point defects, etc.
- Bipolar thermal conductivity
- Engineering performance of thermoelectric generator[^1]
- Engineering dimensionless figure of merit (ZT<sub>eng</sub>) and power factor (PF<sub>eng</sub>)
- Maximum Efficiency (η<sub>max</sub>) and ouput power density (P<sub>d</sub>)
- R<sub>L</sub>- (external electric load resistance) or I- (electric current density) dependent properties, e.g. output voltage (V), heat flux (Q<sub>hot</sub>)
- Device ZT of thermoelectric generator[^2]
- Maximum thermoelectric device efficiency
- Optimized relative current density $u$
- Thermoelectric potential $\Phi$
- Thermoelectric data manipulation
- Thermoelectric data interpolation and extrapolation
- Cut-off thermoelectric data at the threshold temperature
- Join and rearrange parallel data files
- Mix parallel data files with linear combination
<br/><br/>
#### References
[^1]: Kim, H. S., Liu, W., Chen, G., Chu, C. W., & Ren, Z. (2015). Relationship between thermoelectric figure of merit and energy conversion efficiency.
_Proceedings of the National Academy of Sciences_, 112(27), 8205-8210. DOI: [10.1073/pnas.1510231112](https://doi.org/10.1073/pnas.1510231112)
[^2]: Snyder, G. J., & Snyder, A. H. (2017). Figure of merit ZT of a thermoelectric device defined from materials properties.
_Energy & Environmental Science_, 10(11), 2280-2283. DOI: [10.1039/C7EE02007D](https://doi.org/10.1039/C7EE02007D)
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