CH24130Three decades of quantum science: how quantum chemistry transformed thermochemical database generation for benchmarking DFT and machine learning
This review underscores the pivotal role of high-level composite wavefunction methods in revolutionising the construction of highly accurate thermochemical databases. These breakthroughs are critical for generating large-scale thermochemical datasets, which are crucial for advancing density functional theory (DFT) methods and improving machine-learning models to enable more reliable chemical predictions. (Image credit: A. Karton.)
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