First-Principles DFT Investigation of CsSn(0.5)Ge(0.5)I(3) and Machine Learning-Assisted Numerical Simulation of Lead-Free Solar Cells.
- DOI
- 10.3390/ma19153341
- Published
- 2026 Aug 6
- Container
- Materials (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ma19153341,
title = {First-Principles DFT Investigation of CsSn(0.5)Ge(0.5)I(3) and Machine Learning-Assisted Numerical Simulation of Lead-Free Solar Cells.},
author = {Yu Q and Liang J and Chang X and Xia X and Zhao J},
year = {2026},
journal = {Materials (Basel, Switzerland)},
doi = {10.3390/ma19153341},
url = {https://doi.org/10.3390/ma19153341}
}RIS
TY - JOUR TI - First-Principles DFT Investigation of CsSn(0.5)Ge(0.5)I(3) and Machine Learning-Assisted Numerical Simulation of Lead-Free Solar Cells. AU - Yu Q AU - Liang J AU - Chang X AU - Xia X AU - Zhao J PY - 2026 JO - Materials (Basel, Switzerland) DO - 10.3390/ma19153341 UR - https://doi.org/10.3390/ma19153341 ER -
APA
Q, Y., J, L., X, C., X, X., & J, Z. (2026). First-Principles DFT Investigation of CsSn(0.5)Ge(0.5)I(3) and Machine Learning-Assisted Numerical Simulation of Lead-Free Solar Cells.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma19153341
Source records
- pubmed · retrieved 2026-09-25T10:16:32.920Z