Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning

Noor Titan Putri Hartono; Janak Thapa; Armi Tiihonen; Felipe Oviedo; Clio Batali; Jason J. Yoo; Zhe Liu; Ruipeng Li; David Fuertes Marron; Moungi G. Bawendi; Tonio Buonassisi; Shijing Sun

doi:10.1109/PVSC45281.2020.9300622

Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marron, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called 'capping layer', consisting of low dimensional (LD) perovskite, sandwiched between perovskite absorber and hole transport layer. However, there is no conclusive agreement on how to select capping layer material that best extends the stability. By using feature importance rank on the regression models, we can start to see which molecular properties on capping layer have significant impact in suppressing degradation.

Original language	English
Title of host publication	2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
Publisher	IEEE
Pages	693-695
Number of pages	3
ISBN (Electronic)	9781728161150
DOIs	https://doi.org/10.1109/PVSC45281.2020.9300622
Publication status	Published - 14 Jun 2020
MoE publication type	A4 Conference publication
Event	IEEE Photovoltaic Specialists Conference - Calgary, Canada Duration: 15 Jun 2020 → 21 Aug 2020 Conference number: 47

Publication series

Name	Conference Record of the IEEE Photovoltaic Specialists Conference
Publisher	IEEE
Volume	2020-June
ISSN (Print)	0160-8371

Conference

Conference	IEEE Photovoltaic Specialists Conference
Abbreviated title	PVSC
Country/Territory	Canada
City	Calgary
Period	15/06/2020 → 21/08/2020

Funding

This work was supported by National Science Foundation (NSF) SusChem Grant CBET-1605547, Skoltech grant 1913/R as part of the Skoltech NGP Program, and TOTAL Sustng Mbr 9/08, RPP. ACKNOWLEDGMENT N. T. P. H. thanks National Science Foundation (NSF) SusChem Grant CBET-1605547 and Skoltech grant 1913/R as part of the Skoltech NGP Program. J. T., C. B., Z. L., and S. S. thank TOTAL SA research grant funded through MITeI Sustng Mbr 9/08, RPP. A. T. thanks Alfred Kordelin Foundation and Svenska Tekniska Vetenskaps-akademien i Finland. Z. L. and F. O. thank U.S. Department of Energy (DOE) under Photovoltaic Research and Development (PVRD) program under Award no. DE-EE0007535. J. J. Y thanks the Institute for Soldier Nanotechnology (ISN) grant W911NF-13-D-0001, the National Aeronautics and Space Administration (NASA) grant NNX16AM70H, and the Eni-MIT Alliance Solar Frontiers Center. D. F. M. thanks the MISTI-Spain research grant and Research Mobility Program in the US of UPM. Parts of this study were performed at the Harvard University Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Coordinated Infrastructure Network (NNCI), which is supported by the National Science Foundation under NSF award no. 1541959. CNS is part of Harvard University. This work also made use of the MRSEC Shared Experimental Facilities at MIT, supported by the National Science Foundation under award number DMR-1419807. This research used 11-BM (CMS) beamline of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704.

Keywords

buffer layer
capping layer
degradation
perovskite solar cell
stability

Access to Document

10.1109/PVSC45281.2020.9300622

Cite this

Hartono, N. T. P., Thapa, J., Tiihonen, A., Oviedo, F., Batali, C., Yoo, J. J., Liu, Z., Li, R., Marron, D. F., Bawendi, M. G., Buonassisi, T., & Sun, S. (2020). Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning. In 2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020 (pp. 693-695). Article 9300622 (Conference Record of the IEEE Photovoltaic Specialists Conference; Vol. 2020-June). IEEE. https://doi.org/10.1109/PVSC45281.2020.9300622

@inproceedings{7ae5869a502b4120a49aeab606eb1b4a,

title = "Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning",

abstract = "After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called 'capping layer', consisting of low dimensional (LD) perovskite, sandwiched between perovskite absorber and hole transport layer. However, there is no conclusive agreement on how to select capping layer material that best extends the stability. By using feature importance rank on the regression models, we can start to see which molecular properties on capping layer have significant impact in suppressing degradation.",

keywords = "buffer layer, capping layer, degradation, perovskite solar cell, stability",

author = "Hartono, \{Noor Titan Putri\} and Janak Thapa and Armi Tiihonen and Felipe Oviedo and Clio Batali and Yoo, \{Jason J.\} and Zhe Liu and Ruipeng Li and Marron, \{David Fuertes\} and Bawendi, \{Moungi G.\} and Tonio Buonassisi and Shijing Sun",

note = "Funding Information: This work was supported by National Science Foundation (NSF) SusChem Grant CBET-1605547, Skoltech grant 1913/R as part of the Skoltech NGP Program, and TOTAL Sustng Mbr 9/08, RPP. Funding Information: ACKNOWLEDGMENT N. T. P. H. thanks National Science Foundation (NSF) SusChem Grant CBET-1605547 and Skoltech grant 1913/R as part of the Skoltech NGP Program. J. T., C. B., Z. L., and S. S. thank TOTAL SA research grant funded through MITeI Sustng Mbr 9/08, RPP. A. T. thanks Alfred Kordelin Foundation and Svenska Tekniska Vetenskaps-akademien i Finland. Z. L. and F. O. thank U.S. Department of Energy (DOE) under Photovoltaic Research and Development (PVRD) program under Award no. DE-EE0007535. J. J. Y thanks the Institute for Soldier Nanotechnology (ISN) grant W911NF-13-D-0001, the National Aeronautics and Space Administration (NASA) grant NNX16AM70H, and the Eni-MIT Alliance Solar Frontiers Center. D. F. M. thanks the MISTI-Spain research grant and Research Mobility Program in the US of UPM. Funding Information: Parts of this study were performed at the Harvard University Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Coordinated Infrastructure Network (NNCI), which is supported by the National Science Foundation under NSF award no. 1541959. CNS is part of Harvard University. This work also made use of the MRSEC Shared Experimental Facilities at MIT, supported by the National Science Foundation under award number DMR-1419807. This research used 11-BM (CMS) beamline of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704. Publisher Copyright: {\textcopyright} 2020 IEEE.; IEEE Photovoltaic Specialists Conference, PVSC ; Conference date: 15-06-2020 Through 21-08-2020",

year = "2020",

month = jun,

day = "14",

doi = "10.1109/PVSC45281.2020.9300622",

language = "English",

series = "Conference Record of the IEEE Photovoltaic Specialists Conference",

publisher = "IEEE",

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booktitle = "2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020",

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}

Hartono, NTP, Thapa, J, Tiihonen, A, Oviedo, F, Batali, C, Yoo, JJ, Liu, Z, Li, R, Marron, DF, Bawendi, MG, Buonassisi, T & Sun, S 2020, Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning. in 2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020., 9300622, Conference Record of the IEEE Photovoltaic Specialists Conference, vol. 2020-June, IEEE, pp. 693-695, IEEE Photovoltaic Specialists Conference, Calgary, Canada, 15/06/2020. https://doi.org/10.1109/PVSC45281.2020.9300622

Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning. / Hartono, Noor Titan Putri; Thapa, Janak; Tiihonen, Armi et al.
2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020. IEEE, 2020. p. 693-695 9300622 (Conference Record of the IEEE Photovoltaic Specialists Conference; Vol. 2020-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called 'capping layer', consisting of low dimensional (LD) perovskite, sandwiched between perovskite absorber and hole transport layer. However, there is no conclusive agreement on how to select capping layer material that best extends the stability. By using feature importance rank on the regression models, we can start to see which molecular properties on capping layer have significant impact in suppressing degradation.

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Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning

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Keywords

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