High-throughput DFT calculations and machine learning enhance efficiency of thermochemical CO2 splitting processes.
Gibbs free energy engineering based on high-throughput density functional theory (DFT) calculations combined with machine learning for materials screening in low-temperature thermochemical CO 2 splitting.
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Wang et al. (2025) studied this question.
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