Irea Mosquera‐Lois, Aron Walsh
Halide vacancies are the dominant point defects in perovskites, with V Cl identified as a detrimental trap for the optoelectronic performance of Cs Pb Cl 3 , which has applications ranging from photodetectors to solar cells. Understanding these defects under operating conditions is key since their electronic levels exhibit large thermal fluctuations that challenge the validity of static 0 K models. However, quantitative modeling of defect processes requires hybrid density functional theory with spin-orbit coupling, which is too expensive for direct molecular dynamic simulations. To address this, we train a multitask machine learning force field to study V Cl in orthorhombic Cs Pb Cl 3 at 300 K. While we observe strong oscillations in the optical transition level arising from the soft potential energy surface, neither the nonradiative capture barriers nor the thermodynamic charge transition levels are affected. Our results reveal that V Cl is not responsible for the nonradiative losses previously assumed. Instead, its impact on performance arises from other mechanisms, such as limiting the open-circuit voltage and promoting ionic migration. Our findings demonstrate that, despite strong dynamical effects in halide perovskites, the conventional static formalism of defect theory remains valid for predicting thermodynamic behavior, providing a sound basis for the design of high-performance energy materials.