⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

January 1, 2022Materials AdvancesOpen Access

Review of defect engineering in perovskites for photovoltaic application

Souhardya Bera Ankit Saha Shibsankar Mondal Arnab Biswas Shreyasi Mallick Rupam Chatterjee Subhasis Roy

View Full Paper

Ask AI

Bookmark

Share

Abstract

Perovskite-based devices have achieved high efficiencies in the fields of photovoltaics and energy storage.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Bera et al. (2022) studied this question.

synapsesocial.com/papers/69dcc96cc099bcfdbb133968 https://doi.org/10.1039/d2ma00194b

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Perovskite solar cells gear up to go commercialOriginal Research · 2016 · 68 citations
2Perovskite solar cell for photocatalytic water splitting with a TiO 2 /Co-doped hematite electron transport bilayerOriginal Research · 2018 · 42 citations
3Chemical Management for Colorful, Efficient, and Stable Inorganic–Organic Hybrid Nanostructured Solar CellsOriginal Research · 2013 · 4,833 citations
4Solvent Annealing of Perovskite‐Induced Crystal Growth for Photovoltaic‐Device Efficiency EnhancementOriginal Research · 2014 · 1,703 citations
5Use of carrier injection engineering to increase the light intensity of a polycrystalline silicon avalanche mode light-emitting deviceOriginal Research · 2020 · 22 citations

Lead-free organic–inorganic tin halide perovskites for photovoltaic applications2014
Improved Understanding of the Electronic and Energetic Landscapes of Perovskite Solar Cells: High Local Charge Carrier Mobility, Reduced Recombination, and Extremely Shallow Traps2014
High Charge Carrier Mobilities and Lifetimes in Organolead Trihalide Perovskites2013
Solar-Light-Driven Photocatalytic Water Splitting Using CuS/ZnS Type II Heterojunction: A Route to Green Hydrogen ProductionMaterials Advances · 2026
Prediction and exploration of proton conductivity using machine learning in proton-conducting ceramicsMaterials Advances · 2026

More from Materials Advances

More from University of Calcutta