Two-step templating strategy enabled 20.70% efficiency in layer-by-layer organic solar cells

Abstract

The uncontrollable diffusion dynamics of the top layer of layer-by-layer organic solar cells (LBL OSCs) often lead to undesirable phase-separation morphology, limiting their photovoltaic performance. Herein, we present an innovative, two-step templating (TST) strategy to systematically regulate the stacking behavior of bottom layer and deposition dynamics of top layer to optimize the active-layer morphology. The first step (plasticing strategy) employed a designed polymer plasticizer, PBTP-BDD, to modulate the chain stacking behavior of D18, which created a primed template that prolonged the deposition dynamics of L8-BO and promoted its ordered self-assembly, achieving a power conversion efficiency (PCE) of 19.95%. In the second step (rinsing strategy), chloroform solvent was used to selectively rinse the plasticized layer, which reconstructed this initial template into a thermodynamically stable and structurally ordered state, guiding L8-BO to adopt a more favorable crystal orientation and further boosting the PCE to 20.70%; this PCE was significantly superior to those of the control devices (18.53%) and rinsing-only devices (18.94%), demonstrating the notable advantages of the TST strategy. Moreover, the TST strategy exhibited exceptional generality, thus achieving an excellent PCE of 18.08% in 300 nm thick-film OSCs. This work provides an important foundation and process guidance for the fabrication of high-performance LBL OSCs through the synergistic regulation of deposition dynamics.

Graphical abstract: Two-step templating strategy enabled 20.70% efficiency in layer-by-layer organic solar cells

Supplementary files

Article information

Article type
Paper
Submitted
02 Jan 2026
Accepted
17 Feb 2026
First published
18 Feb 2026

Energy Environ. Sci., 2026, Advance Article

Two-step templating strategy enabled 20.70% efficiency in layer-by-layer organic solar cells

S. Huang, M. Deng, X. Lai, T. Chen, X. Bao, J. Liao, J. Li, J. Wang, C. Liao and Q. Peng, Energy Environ. Sci., 2026, Advance Article , DOI: 10.1039/D6EE00021E

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