Solar cells and catalysis are two important applications in the field of renewable energy where the performances of the materials in these systems are influenced by the efficiency and stability of the electrodes. Here, we highlight the importance of understanding the dynamic processes in electrodes, such as ion migration, electrochemical reactions and surface restructuring, and how these phenomena can influence the overall performance of the systems. Lead halide perovskites have emerged as a promising class of materials with exciting optoelectronic properties, making them promising candidates for next-generation optoelectronics. The detailed electronic structure and photo excited charge density response in the excited state are here important to describe and optimize lead halide perovskites under operation [1,2]. Experiments from photoinduced Stark-effect experiment as well as corroborating theoretical investigations are presented and show that the excess energy after thermalization under blue-light illumination is large enough for overcoming the activation energy for iodide migration and can thus trigger ion movement and vacancy formation [2,3]. Here, a dipolar A-site cation would decrease the energy of defect formation, but instead impede defect migration [4] and also affect the excited state response and subsequently enhanced optoelectronic properties [5,6]. In an extension, the results give rationale for using dipolar A-site cations and mixed halide perovskites to decrease halide migration and the mechanistic origin of reported stability issues under blue and UV-light illumination. We present electrode materials reaching certified conversion above 26% solar-to-electricity power conversion. In the field of catalysis, we show that serial interconnected photo-absorbers are cost-effective solution to the spectral mismatch problem. Applying modified Cu-In-Ga-Se2 (CIGS) within the approach allows harvesting of photons up to 1200 nm in the solar spectrum and convert this energy into solar fuel beyond 13% STH module efficiency [7]. We will also outline how operando Raman spectroscopy can be utilized to unveil Fe-Ni based electrocatalyst reformulations into the active catalyst phase [8-10] and their structural integrity and how machine learning can guide us towards compositional choices in high entropy alloy catalysts [11,12].
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12. Araujo. R.B., Edvinsson, T. ACS Catal. 14, 3742 (2024)