Artificial Intelligence-Guided Cosolvent Design for High-Performance Perovskite/Silicon Tandem Solar Cells
Corresponding Author: Shengzhong (Frank) Liu
Nano-Micro Letters,
Vol. 18 (2026), Article Number: 446
Abstract
Realizing high-performance perovskite/silicon tandem solar cells requires precise control of wide-bandgap perovskite crystallization. Solvent engineering is the most direct lever for this task; yet, its intricate, multi-variable mechanisms defy intuition-driven design. Herein, we overcome this bottleneck by pioneering a retrieval-augmented large language model to screen > 8000 solvents, identifying γ-valerolactone (GVL) as a non-toxic, high-performance cosolvent. It is found that the GVL strongly coordinates FA+, thus precisely modulating crystallization kinetics, retarding nucleation, and promoting oriented, micrometer-scale grain growth. The resulting films exhibit not only superior crystallinity, reduced non-radiative recombination, but also improved scalability to large area and the tolerance to increased film thickness. Consequently, both the single-junction and tandem devices achieve efficiencies of 23.3% and 32.5%, respectively, along with excellent stability under moisture and illumination. This study establishes the first artificial intelligence (AI)-guided cosolvent strategy for 1-μm-thick perovskite layers in perovskite/silicon tandem architectures, underscoring the transformative role of generative AI in advancing high-performance photovoltaics.
Highlights:
1 A retrieval‑augmented large language model screens >8000 solvents and identifies γ‑valerolactone (GVL) as a non‑toxic, high‑performance cosolvent for wide‑bandgap perovskites, establishing the first AI‑guided cosolvent strategy for perovskite/silicon tandem solar cells.
2 GVL strongly coordinates FA+, delaying nucleation, promoting oriented micrometre‑scale grain growth, and enabling uniform ~1‑μm‑thick perovskite films on textured silicon with suppressed non‑radiative recombination and phase segregation.
3 GVL-enabled devices achieve 23.3% (single-junction) and 32.5% (perovskite/silicon tandem) efficiencies, with excellent stability: T80 >4000 h (storage) and >1000 h (operational) for single-junction cells, demonstrating a scalable and sustainable solvent engineering route.
Keywords
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Best research-cell efficiency chart.
J. Liu, M. De Bastiani, E. Aydin, G.T. Harrison, Y. Gao et al., Efficient and stable perovskite-silicon tandem solar cells through contact displacement by MgFx. Science 377(6603), 302–306 (2022). https://doi.org/10.1126/science.abn8910
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C. Sun, L. Jin, X. Wang, B. Shi, P. Wang, N. Ren et al., Wide-bandgap perovskite and perovskite/silicon tandem solar cells through strong hydrogen bonding interaction. ACS Energy Lett. 10(5), 2171–2179 (2025). https://doi.org/10.1021/acsenergylett.5c00147
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Z. Li, Z. Wei, X. Sun, Y. Zhang, Q. Wang et al., Nanocrystal-nucleus template strategy for efficient wide-bandgap perovskite solar cells with enhanced homogeneity and energy-level alignment. Adv. Mater. 37(38), 2509202 (2025). https://doi.org/10.1002/adma.202509202
H. Luo, N. University, X. Han, N. University, B. Yang et al., Damp-stable perovskite/silicon tandem solar cells with internal encapsulating sulfonium-based molecules. ACS Energy Lett. 10(7), 3325–3334 (2025). https://doi.org/10.1021/acsenergylett.5c01010
Z. Fang, B. Deng, Y. Jin, L. Yang, L. Chen et al., Surface reconstruction of wide-bandgap perovskites enables efficient perovskite/silicon tandem solar cells. Nat. Commun. 15, 10554 (2024). https://doi.org/10.1038/s41467-024-54925-4
L. Merten, T. Eberle, E. Kneschaurek, N. Scheffczyk, P. Zimmermann et al., Halide segregated crystallization of mixed-halide perovskites revealed by in situ GIWAXS. ACS Appl. Mater. Interfaces 16(7), 8913–8921 (2024). https://doi.org/10.1021/acsami.3c18623
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