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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 generator1
    • Engineering dimensionless figure of merit (ZTeng) and power factor (PFeng)
    • Maximum Efficiency (ηmax) and ouput power density (Pd)
    • RL- (external electric load resistance) or I- (electric current density) dependent properties, e.g. output voltage (V), heat flux (Qhot)
  • Device ZT of thermoelectric generator2
    • 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



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 ↩

  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 ↩

Metadata

Release files for TEflow 0.4.6

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Source distribution for TEflow 0.4.6
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teflow-0.4.6-py3-none-any.whl Python 3 none any Details for teflow-0.4.6-py3-none-any.whl

Total release size: 168.3 kB

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