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SUZANNE WALLACE
Disorder in Cu-Zn sub-lattice in CZTS
z = ¾
z = ¼
Disorder in z = ¼ and
z = ¾ planes
 [Cu-
Zn + Zn+
Cu]
Point Defects in CZTS
Chen et al, Physical Review B, 81(24), 245204 (2010)
[Cu-
Zn + Zn+
Cu]
antisite pair
Low energy
defect complex:
Recent Evidence of Disorder
Disorder within Cu-Zn layers from neutron powder diffraction data
Recent Evidence of Disorder
Using Raman intensity as an order parameter, TC= 533 K
Recent Evidence of Disorder
Zn-rich domains in atom probe tomography
Disorder in Cu-Zn sub-lattice in CZTS
Gokmen et al, Appl. Phys. Lett. 103, 103506 (2013)
CZTS Monte Carlo Cu-Zn disorder model
1. Q order parameter
Finite size effects
2) Zn-Zn nearest-neighbour PCF peak
= 1, fully ordered
= 0, complete disorder
Q parameter vs. T
https://github.com/WMD-group/Eris
PCF peak intensity vs. T 
CZTS Monte Carlo Cu-Zn disorder model
Plateau of Cu-Zn order w.r.t T
 thermodynamic limit on Cu-Zn order at accessible T
DOI: 10.1002/pssb.201600372
https://github.com/WMD-group/Eris
(currently exploring parameterisation for T-dependence)
CZTS Monte Carlo Cu-Zn disorder model
Next steps?
1. Sn disorder
 Possible reduction in formation energy with Cu-Zn
disorder?
2. Band tailing from distribution of electrostatic potential
3. Disorder in off-stoichiometric CZTS
Analyse Sn-Sn PCFs (2D and 3D)
https://doi.org/10.1016/j.jallcom.2016.07.298
https://github.com/WMD-group/Eris
Initial study: Photoferroic minerals for PV?
• Enhanced carrier separation from internal E-fields?
• Exploitation of APE and BPE?
• Photovoltages >> Eg
• PV effect in single crystals (without p–n junction)
DOI: 10.1039/C7SE00277G
• HSE band structures
• Direct Eg for enargite and stephanite
• Rashba splitting of CBM for bournonite
• Absorption coefficients
• m*’s
• Strength of lattice polarisations
• Speculation of defect-tolerance based on VBM bonding character
• Literature review: (limited) known predicted and exptl. properties, synthesis proceedures
1. Predict suitable device architectures
VOC losses linked to misalignment of
bands with contact materials
Poor epitaxy from lattice mismatch
2. Investigate defect physics of the
materials
Likely impact of defects on PV
performance
Predicting and tuning impact?
DOI: 10.1039/c7tc01920c
Accelerate development of devices!
 Screen by necessary conditions for good contact
1. Electronic matching
 Optimal band offsets
 Screen by IP and EA
 Minimise VOC loss across junction
2. Lattice strain
 Match crystal lattices
 Minimal for good epitaxy
DOI: 10.1039/c5tc04091d
1. Predictions for device architecture
Keith Butler: k.t.butler@bath.ac.uk
https://github.com/keeeto/ElectronicLatticeMatch
2. Predicting and tuning defect-tolerance?
Calculate defect formation energy and transition levels
Predict likely concentration of deep vs. shallow defects
Tuning chemical potential during synthesis
Increase energy for deep defects
Look into benign defect complexes
Encourage formation of other defects to ‘clean up’ the
band gap?
DOI: 10.1002/adma.201203146
DOI: 10.1038/nmat.4973
Bonus slides!
Cutoff radius for lattice electrostatics summation
Equilibration

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NREL_rapid_development_intro

  • 2. Disorder in Cu-Zn sub-lattice in CZTS z = ¾ z = ¼ Disorder in z = ¼ and z = ¾ planes  [Cu- Zn + Zn+ Cu]
  • 3. Point Defects in CZTS Chen et al, Physical Review B, 81(24), 245204 (2010) [Cu- Zn + Zn+ Cu] antisite pair Low energy defect complex:
  • 4. Recent Evidence of Disorder Disorder within Cu-Zn layers from neutron powder diffraction data
  • 5. Recent Evidence of Disorder Using Raman intensity as an order parameter, TC= 533 K
  • 6. Recent Evidence of Disorder Zn-rich domains in atom probe tomography
  • 7. Disorder in Cu-Zn sub-lattice in CZTS Gokmen et al, Appl. Phys. Lett. 103, 103506 (2013)
  • 8. CZTS Monte Carlo Cu-Zn disorder model 1. Q order parameter Finite size effects 2) Zn-Zn nearest-neighbour PCF peak = 1, fully ordered = 0, complete disorder Q parameter vs. T https://github.com/WMD-group/Eris PCF peak intensity vs. T 
  • 9. CZTS Monte Carlo Cu-Zn disorder model Plateau of Cu-Zn order w.r.t T  thermodynamic limit on Cu-Zn order at accessible T DOI: 10.1002/pssb.201600372 https://github.com/WMD-group/Eris (currently exploring parameterisation for T-dependence)
  • 10. CZTS Monte Carlo Cu-Zn disorder model Next steps? 1. Sn disorder  Possible reduction in formation energy with Cu-Zn disorder? 2. Band tailing from distribution of electrostatic potential 3. Disorder in off-stoichiometric CZTS Analyse Sn-Sn PCFs (2D and 3D) https://doi.org/10.1016/j.jallcom.2016.07.298 https://github.com/WMD-group/Eris
  • 11. Initial study: Photoferroic minerals for PV? • Enhanced carrier separation from internal E-fields? • Exploitation of APE and BPE? • Photovoltages >> Eg • PV effect in single crystals (without p–n junction) DOI: 10.1039/C7SE00277G • HSE band structures • Direct Eg for enargite and stephanite • Rashba splitting of CBM for bournonite • Absorption coefficients • m*’s • Strength of lattice polarisations • Speculation of defect-tolerance based on VBM bonding character • Literature review: (limited) known predicted and exptl. properties, synthesis proceedures
  • 12. 1. Predict suitable device architectures VOC losses linked to misalignment of bands with contact materials Poor epitaxy from lattice mismatch 2. Investigate defect physics of the materials Likely impact of defects on PV performance Predicting and tuning impact? DOI: 10.1039/c7tc01920c Accelerate development of devices!
  • 13.  Screen by necessary conditions for good contact 1. Electronic matching  Optimal band offsets  Screen by IP and EA  Minimise VOC loss across junction 2. Lattice strain  Match crystal lattices  Minimal for good epitaxy DOI: 10.1039/c5tc04091d 1. Predictions for device architecture Keith Butler: k.t.butler@bath.ac.uk https://github.com/keeeto/ElectronicLatticeMatch
  • 14. 2. Predicting and tuning defect-tolerance? Calculate defect formation energy and transition levels Predict likely concentration of deep vs. shallow defects Tuning chemical potential during synthesis Increase energy for deep defects Look into benign defect complexes Encourage formation of other defects to ‘clean up’ the band gap? DOI: 10.1002/adma.201203146 DOI: 10.1038/nmat.4973
  • 16. Cutoff radius for lattice electrostatics summation

Editor's Notes

  • #4: ‘CuZn is the lowest-energy defect at all the points in the stable region, significantly lower than that of VCu and ZnSn, showing that the CuZn antisite is the dominant intrinsic defect in this quaternary kesterite semiconductor’