Page 20 - Read Online
P. 20

Wang et al. Energy Mater. 2026, 6, 600064                                        Page 13 of 34





               This review has highlighted the multifaceted nature of structural defects in perovskite materials and the
               diverse range of additive engineering strategies developed to passivate them across atomic, mesoscopic, and
               macroscopic length scales. Defect-selective additive engineering strategies and key functional groups for
               perovskite passivation are summarized in Table 1. From mitigating anion vacancies through transient Cl -
               donors to suppressing antisite defects via multidentate ligands and healing grain boundaries through
               environmental treatments, additive engineering has proven essential for enhancing carrier dynamics,
               including prolonged carrier lifetimes, improved charge mobilities, and reduced non-radiative recombination
               losses. However, the vast chemical space of potential additives, encompassing organic cations, anions,
               polymers, and hybrid molecules, poses a combinatorial challenge that cannot be efficiently addressed by
               traditional trial-and-error approaches. Each additive interacts with multiple defect types through complex
               mechanisms (coordination, hydrogen bonding, electrostatic interaction), and their effects are highly sensitive
               to processing conditions. This complexity calls for a paradigm shift from empirical screening to rational,
               data-driven design. Herein lies the transformative potential of ML. By integrating high-throughput
               experimental data, computational simulations (e.g., density functional theory (DFT)), and structural
               descriptors, ML models can predict the defect-passivation efficacy of novel additives, identify synergistic
               combinations, and optimize processing parameters [129] . For instance, ML can correlate molecular features
               (e.g., electronegativity, steric effects) with passivation performance, enabling the discovery of next-generation
               multifunctional additives [131] . The convergence of additive engineering and ML thus represents a powerful
               pathway toward accelerated materials discovery, enhanced reproducibility, and ultimately, the
               commercialization of high-performance PSCs.


               Interface engineering for enhanced stability
               In high-performance PSCs, the top and buried interfaces serve as the primary conduits for charge extraction
               but simultaneously represent the most vulnerable frontiers for chemical degradation and structural
               deterioration. While the preceding sections primarily emphasized how targeted additive engineering
               passivates localized interfacial defects to suppress non-radiative recombination, the ultimate significance of
               interfacial management extends far beyond initial efficiency enhancements. By integrating these multifaceted
               chemical and mechanical modifications, interface engineering collectively endows devices with the
               exceptional operational stability required to withstand prolonged exposure to severe thermal, photonic, and
               environmental stressors.


               Functional group bonding
               To reinforce the physicochemical shield at these vulnerable boundaries, the advanced interfacial strategies
               previously discussed for defect passivation, including self-assembled monolayer (SAM), co-assembled
               surface modifiers, and vertical molecular bridges, are equally applicable and highly effective for broader
               stability enhancement. The fundamental logic remains consistent across these scales. Whether the objective
               is passivating localized interfacial imperfections or achieving comprehensive macroscopic interface
               engineering, establishing strong chemical interactions between the perovskite absorber and the charge
               transport materials is essential. Echoing the dual functional nature of the previously discussed TDCA
               bridging strategy, Xiong et al. [132]  demonstrated that perfluorophenylacylamide (PFPA) effectively
               coordinates with Pb  through its carbonyl group and leverages strong dipole interactions to fine-tune the
                                2+
               energy band alignment, thereby maintaining over 85% of its initial efficiency after 350 h of storage under
               ambient air at room temperature and 45% relative humidity. Further extending this bridging paradigm to the
               top electron extraction interface, Hu et al.  designed the multifunctional 3-aminomethyl-benzothiophene
                                                  [133]
               (3-AMBTh) to act as an efficient charge bridge. Within this architecture, the amine group selectively reacts
               with V  to heal the perovskite surface, while its aromatic backbone engages in robust π-π stacking with
                     I
               fullerene-based electron transport layers (ETLs). This dual-action bridge effectively suppresses charge
               recombination and substantially extends the operational lifetime of the device, enabling it to retain > 94% of

               its initial efficiency after 1,000 h of storage.
   15   16   17   18   19   20   21   22   23   24   25