journal article·2017-05-26Open access

Engineering solar cells based on correlative X-ray microscopy

Michael Stuckelberger, Bradley West, Tara Nietzold, Barry Lai, Jörg M. Maser, Volker Rose, Mariana I. Bertoni

Journal of Materials Research· Volume 32· Issue 10

Abstract

In situandoperandomeasurement techniques combined with nanoscale resolution have proven invaluable in multiple fields of study. We argue that evaluating device performance as well as material behavior by correlative X-ray microscopy with <100 nm resolution can radically change the approach for optimizing absorbers, interfaces and full devices in solar cell research. In this article, we thoroughly discuss the measurement technique of X-ray beam induced current and point out fundamental differences between measurements of wafer-based silicon and thin-film solar cells. Based on reports of the last years, we showcase the potential that X-ray microscopy measurements have in combination within situandoperandoapproaches throughout the solar cell lifecycle: from the growth of individual layers to the performance under operating conditions and degradation mechanisms. Enabled by new developments in synchrotron beamlines, the combination of high spatial resolution with high brilliance and a safe working distance allows for the insertion of measurement equipment that can pave the way for a new class of experiments. Applied to photovoltaics research, we highlight today’s opportunities and challenges in the field of nanoscale X-ray microscopy, and give an outlook on future developments.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Semiconductor Detectors and Materials · Advanced X-ray Imaging Techniques · Advanced Electron Microscopy Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (100+)

Show source-provided references
1. 10.1134/S102745101305014510.1134/S1027451013050145 ↗
2. 10.1038/nnano.2014.29210.1038/nnano.2014.292 ↗
3. Quantifying X-ray fluorescence data using MAPS
4. 67. Pinard P.T. , Demers H. , Salvat F. , and Gauvin R. : PyPenelope. Available at: http://pypenelope.sourceforge.net/ (accessed October 4, 2016).
5. 10.1063/1.478880010.1063/1.4788800 ↗
6. 10.1002/adma.20150340610.1002/adma.201503406 ↗
7. 10.1038/ncomms266110.1038/ncomms2661 ↗
8. 10.1021/nl404275210.1021/nl4042752 ↗
9. 10.1063/1.359228810.1063/1.3592288 ↗
10. 10.1016/j.nima.2005.03.03810.1016/j.nima.2005.03.038 ↗
11. 10.1109/PVSC.2016.774998010.1109/PVSC.2016.7749980 ↗
12. Buonassisi · 2005 · 141
13. 10.1063/1.204881910.1063/1.2048819 ↗
14. 10.1021/ar400115x10.1021/ar400115x ↗
15. 10.1016/j.mseb.2008.10.05310.1016/j.mseb.2008.10.053 ↗
16. 10.1021/ma200864s10.1021/ma200864s ↗
17. 10.1038/nature0941910.1038/nature09419 ↗
18. 10.1016/j.elspec.2015.06.00810.1016/j.elspec.2015.06.008 ↗
19. 10.1002/pip.112610.1002/pip.1126 ↗
20. 10.1063/1.480831010.1063/1.4808310 ↗
21. 10.1038/ncomms1372810.1038/ncomms13728 ↗
22. 10.1016/j.ultramic.2011.09.01810.1016/j.ultramic.2011.09.018 ↗
23. 10.1038/nphoton.2013.3210.1038/nphoton.2013.32 ↗
24. 10.1016/j.solmat.2015.06.02410.1016/j.solmat.2015.06.024 ↗
25. 10.1021/nl503061310.1021/nl5030613 ↗
26. 10.1038/nmat145710.1038/nmat1457 ↗
27. 10.1038/nmat331010.1038/nmat3310 ↗
28. Selecting tandem partners for silicon solar cells10.1038/nenergy.2016.137 ↗
29. 10.1002/pip.125410.1002/pip.1254 ↗
30. 10.1134/S106378501210023910.1134/S1063785012100239 ↗
31. 10.1109/PVSC.2014.692492310.1109/PVSC.2014.6924923 ↗
32. 10.1109/JPHOTOV.2013.228047110.1109/JPHOTOV.2013.2280471 ↗
33. Stuckelberger · 2016
34. Chu · 2015
35. 10.1126/science.123096910.1126/science.1230969 ↗
36. Stuckelberger · 2015 · 1
37. 10.1134/S102745101401034010.1134/S1027451014010340 ↗
38. 10.1063/1.347501810.1063/1.3475018 ↗
39. Determination of iron, calcium, and silicon in calcium silicates by X-ray fluorescence10.1021/ac60174a014 ↗
40. 10.1126/science.aaa533310.1126/science.aaa5333 ↗
41. Hieslmair · 2000 · 162
42. 10.1016/j.actamat.2013.03.03710.1016/j.actamat.2013.03.037 ↗
43. 10.1016/j.spmi.2016.04.00210.1016/j.spmi.2016.04.002 ↗
44. 10.1039/c3ee40556g10.1039/c3ee40556g ↗
45. 10.1021/jz201490210.1021/jz2014902 ↗
46. 10.1063/1.133055210.1063/1.1330552 ↗
47. 10.1063/1.145002610.1063/1.1450026 ↗
48. 10.1016/j.jcrysgro.2005.11.05310.1016/j.jcrysgro.2005.11.053 ↗
49. 10.1107/S090904950501271910.1107/S0909049505012719 ↗
50. 10.1063/1.493580710.1063/1.4935807 ↗
51. 10.1063/1.214311410.1063/1.2143114 ↗
52. 10.1016/S0969-806X(01)00227-410.1016/S0969-806X(01)00227-4 ↗
53. 10.1002/aenm.20120063710.1002/aenm.201200637 ↗
54. 10.1016/j.nimb.2009.09.05710.1016/j.nimb.2009.09.057 ↗
55. 10.1134/S102745101211010910.1134/S1027451012110109 ↗
56. 10.1063/1.182791310.1063/1.1827913 ↗
57. 10.1063/1.492161910.1063/1.4921619 ↗
58. 10.1007/s11661-013-1901-x10.1007/s11661-013-1901-x ↗
59. 10.1002/pssc.20088071710.1002/pssc.200880717 ↗
60. 10.1002/pssa.20130030310.1002/pssa.201300303 ↗
61. 10.1021/acs.nanolett.5b0004610.1021/acs.nanolett.5b00046 ↗
62. 10.1016/j.spmi.2008.11.02510.1016/j.spmi.2008.11.025 ↗
63. 10.3103/S106287381301012710.3103/S1062873813010127 ↗
64. 10.1107/S090904951203678310.1107/S0909049512036783 ↗
65. Three-dimensional imaging of dislocation dynamics during the hydriding phase transformation
66. 10.1107/S160057751601572110.1107/S1600577516015721 ↗
67. West · 2016 · 1
68. 10.1038/nenergy.2016.9310.1038/nenergy.2016.93 ↗
69. 10.1021/acs.jpclett.5b0018210.1021/acs.jpclett.5b00182 ↗
70. 10.1109/PVSC.2016.774980310.1109/PVSC.2016.7749803 ↗
71. 10.1063/1.161891210.1063/1.1618912 ↗
72. Watts · 2009 · 12023
73. 10.1002/pip.69010.1002/pip.690 ↗
74. 81. AXO Dresden. Available at: http://www.axo-dresden.de/(accessed February 20, 2017).
75. 10.1063/1.482411710.1063/1.4824117 ↗
76. 10.1016/j.jcrysgro.2006.05.06610.1016/j.jcrysgro.2006.05.066 ↗
77. Buonassisi · 2003 · 1120
78. Three-dimensional in situ photocurrent mapping for nanowire photovoltaics10.1021/nl304170q ↗
79. 163. Henke B.L. : X-ray interactions with matter. Available at: http://henke.lbl.gov/optical_constants/ (accessed February 25, 2017).
80. Emery · 2016
81. 165. PyMCA. Available at: http://pymca.sourceforge.net/index.html (accessed February 26, 2017).
82. 10.4028/www.scientific.net/SSP.108-109.57710.4028/www.scientific.net/SSP.108-109.577 ↗
83. 10.1063/1.495502210.1063/1.4955022 ↗
84. 10.1063/1.165648410.1063/1.1656484 ↗
85. 10.1016/j.physb.2003.09.09910.1016/j.physb.2003.09.099 ↗
86. 10.1063/1.495076510.1063/1.4950765 ↗
87. 10.1080/08940886.2014.97092910.1080/08940886.2014.970929 ↗
88. 10.1021/acs.chemmater.6b0206510.1021/acs.chemmater.6b02065 ↗
89. 10.1063/1.151716410.1063/1.1517164 ↗
90. A comparison of EBIC, LBIC and XBIC methods as tools for multicrystalline Si characterization
91. 10.1063/1.199727410.1063/1.1997274 ↗
92. X-ray beam induced current/microprobe X-ray fluorescence: Synchrotron radiation based X-ray microprobe techniques for analysis of the recombination activity and chemical nature of metal impurities in silicon
93. 10.1039/c2ja30015j10.1039/c2ja30015j ↗
94. MAPS: A set of software tools for analysis and visualization of 3D X-ray fluorescence data sets
95. 10.1109/JPHOTOV.2016.263380110.1109/JPHOTOV.2016.2633801 ↗
96. 10.1063/1.163625210.1063/1.1636252 ↗
97. Masson · 2016
98. 10.1002/pssc.20088143010.1002/pssc.200881430 ↗
99. 10.1038/nmat394610.1038/nmat3946 ↗
100. 10.1063/1.173707110.1063/1.1737071 ↗