Density‐Functional Theory Studies on Photocatalysis and Photoelectrocatalysis: Challenges and Opportunities

Abstract

Density‐functional theory (DFT) is pivotal in the advancement of photocatalysis and photoelectrocatalysis. Its capability to explore electronic structures of materials contributes significantly to clarifying the mechanisms of photocatalytic (PC) and photoelectrocatalytic (PEC) processes. DFT calculations enable a deeper understanding of how these processes work at a molecular level, which is essential for designing versatile photocatalysts and photoelectrodes and optimizing reaction pathways. In this perspective, key PC and PEC applications, such as H2 production, CO2 reduction, dye degradation, and N2 reduction, where DFT is instrumental in optimizing materials designs and reaction pathways, are highlighted. Exploration on the synergy between experimental research and DFT calculations is highlighted, which is crucial for the development of efficient and environmentally friendly energy solutions. The discussion further extends to challenges and future directions, emphasizing the need for incorporating factors, including discrepancy in scale, light illumination, electrolyte presence, and applied bias, into DFT calculations, to achieve a more comprehensive understanding of PC and PEC systems. In this perspective, it is aimed to provide a holistic view of the current state and potential advancements in photocatalyst and photoelectrode modeling, thereby guiding future research toward more effective and sustainable energy and chemical production processes in PC and PEC systems.

Electric effects reinforce charge carrier behaviour for photocatalysis

“…Time-dependent density functional theory (TDDFT) can efficiently simulate the electronic response of the transition from the ground state to the excited state, which is essential for accurately predicting and understanding the behavior of materials under various photoinduced conditions. 161 Real-time TDDFT is capable of simulating density fluctuations on the femtosecond scale, which is useful for achieving effective and accurate excited state dynamics in ultrafast processes. 162…”

Advances in Computational Methods for Modeling Photocatalytic Reactions: A Review of Recent Developments

“…Quantum chemical methods, such as ab initio and semi-empirical approaches, are indispensable in photocatalysis modeling [22][23][24][25][26]. Quantum chemical methods are significant for their ability to intricately capture and represent various chemical properties at the quantum level.…”