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Rapid optimisation techniques
The document discusses rapid optimization techniques for thin-film materials and devices, highlighting capabilities such as controlled non-uniform deposition and advanced characterization methods. A case study on transparent conductors is presented, illustrating the benefits of combinatorial doping studies for efficient material mapping and performance optimization. Further applications and breakthroughs in thin-film photovoltaics and transparent electronics are also mentioned, along with new developments in perovskite films.
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Rapid optimisation techniques
- 1. Rapid optimisation techniques for thin-film materials and devices Robert Treharne Functional Thin Films 16th October, Coventry @robtreharne slideshare.net/RobertTreharne
- 2. Rapid optimisation techniques for thin-film materials and devices Robert Treharne Functional Thin Films 16th October, Coventry @robtreharne slideshare.net/RobertTreharne
- 3. Rapid optimisation techniques for thin-film materials and devices Robert Treharne Functional Thin Films 16th October, Coventry @robtreharne slideshare.net/RobertTreharne
- 5. Outline 1) Capabilities 2) What I mean by “Combinatorial” 3) Case Study: Transparent Conductors 4) Other Applications 5) Other cool stuff
- 6. AJA Phase II-J Multi-source RF sputtering system ZnO Ta2O5 ZnS CdS Ge SnO2 Nb2O5 CdTe Sb2Te3 Zn TiO2 V2O5 ZnTe As2Te3 Nb SiO2 V2O3 CdSe Te Al2O3 ZrO2 ZnSe Sn Ag Ti Al Cu Bi MgO
- 7. Optical Characterisation ●UV-VIS-IR (250 – 2000 nm): Shimadzu ● Variable Angle Ellipsometry: Woollam ● Both units have scanning capabilities
- 8. Electrical Characterisation ●HallEffect – carrier conc & mobility ● 4PP – Sheet resistance – Scanning!
- 9. Shhh! Don't saythe C-word “Combinatorial” is sometimes a code term used to de scribe uncontrolled non-uniform deposition.
- 10. Controlled Non-Uniformity ●Profile from each gun described by 2D gaussian ● Excellent control over deposition parameters ● High run-to-run reproducibility ● Can predict multi-gun profiles
- 11. Case Study: TransparentConductors ● Essential materials for PV and consumer electronics ● Combinatorial doping study: Si doped ZnO ● Sample hundreds of compositions in a single sample ● Mapping opto-electronic properties vs dopant composition ● Extrapolation!
- 12. Can do thisin 1 day (that's a big deal) Can also extract some fundamental physics
- 13. Going deep! ●Effective Mass – dependent on dopant conc. ● Transport mechanisms: Scattering – new physical models! ● Electronic structure: Shape of conduction band ● ALL WITH ONE CONSISTENT SAMPLE!
- 14. Further Applications OptimisingThin-Film PV CdTe, CZTS, perovskites Transparent Electronics ZnO TFTs
- 15. Example: Cd(1-x)ZnxS layersfor CdTe TFPV ● Can investigate x = 0.1 – 0.7 in one device ● Mapping performance with respect to x ● Optimum x~0.6 identified ● Improvement in Voc identified ● Highly consistent data sets
- 17. Recently presented at 40th IEEE PVSC Colorado
- 18. Other Stuff FilmS.T.A.R Thin-film optical database Multi-layer modelling Currently developing public webapp
- 19. Perovskite! ● Ellipsometryof perovskite film ● n and k extracted ● Multi-layer model to determine optimum thickness for device
- 20. Other Stuff Recentbreakthroughs MgCl2 activation of CdTe solar cells No need for toxic CdCl2 CdTe: Old dog, new tricks!
- 21. EPSRC CDT inPhotovoltaics Starts in November! £8m investment 7 University partners 65 PhD students Publically available resources
- 22. Rapid optimisation techniques for thin-film materials and devices Robert Treharne Functional Thin Films 16th October, Coventry @robtreharne slideshare.net/RobertTreharne