Nitride-based interfacial layers for monolithic tandem integration of new solar energy materials on Si: The case of CZTS
Filipe Martinho (1), Alireza Hajijafarassar (2), Sim\'on Lopez-Marino, (2) Moises Esp\'indola-Rodr\'iguez (3), Sara Engberg (1), Mungunshagai, Gansukh (1), Fredrik Stulen (4), Sigbj{\o}rn Grini (4), Stela Canulescu (1),, Eugen Stamate (2), Andrea Crovetto (5), Lasse Vines (4)

TL;DR
This paper demonstrates that TiN-based diffusion barriers enable the monolithic integration of CZTS solar cells on silicon, achieving competitive efficiencies and voltages while protecting the silicon bottom cell during high-temperature processing.
Contribution
The study introduces TiN-based diffusion barriers as an effective method for monolithic CZTS/Si tandem solar cells, offering a new approach to interface engineering in high-temperature processes.
Findings
Achieved open-circuit voltages up to 1.06 V.
Realized efficiencies up to 3.9%.
Demonstrated protection of silicon bottom cell during high-temperature sulfurization.
Abstract
The monolithic tandem integration of third-generation solar energy materials on silicon holds great promise for photoelectrochemistry and photovoltaics. However, this can be challenging when it involves high-temperature reactive processes, which would risk damaging the Si bottom cell. One such case is the high-temperature sulfurization/selenization in thin film chalcogenide solar cells, of which the kesterite Cu2ZnSnS4 (CZTS) is an example. Here, by using very thin (<10 nm) TiN-based diffusion barriers at the interface, with different composition and properties, we demonstrate on a device level that the protection of the Si bottom cell is largely dependent on the barrier layer engineering. Several monolithic CZTS/Si tandem solar cells with open-circuit voltages (Voc) up to 1.06 V and efficiencies up to 3.9% are achieved, indicating a performance comparable to conventional interfacial…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
