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- W4386694322 abstract "Since the development of generalized gradient approximations in the 1990s, approximations based on density functional theory have dominated electronic structure theory calculations. Modern approximations can yield energy differences that are precise enough to be predictive in many instances, as validated by large- and small-scale benchmarking efforts. However, assessing the quality of densities has been the subject of far less attention, in part because reliable error measures are difficult to define. To this end, this work introduces the mean-field error that directly assesses the quality of densities from approximations. The mean-field error is contextualised within existing frameworks of density functional error analysis and understanding, and shown to be part of the density-driven error. It is demonstrated on several illustrative examples. Its potential use in future benchmarking protocols is discussed, and some conclusions drawn." @default.
- W4386694322 created "2023-09-14" @default.
- W4386694322 creator A5086555627 @default.
- W4386694322 date "2023-09-09" @default.
- W4386694322 modified "2023-10-18" @default.
- W4386694322 title "A step toward density benchmarking -- the energy-relevant mean field error" @default.
- W4386694322 doi "https://doi.org/10.48550/arxiv.2309.04900" @default.
- W4386694322 hasPublicationYear "2023" @default.
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