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Correcting Delocalization Error in Materials with Localized Orbitals and Linear-Response Screening
Jacob Z Williams1, Weitao Yang2
1Department of Chemistry, Duke University, Durham, NC 27708, USA.
Summary
Density functional theory (DFT) struggles with delocalization error. Our new lrLOSC method corrects this error, improving predictions for materials and molecules.
Area of Science:
- Computational chemistry
- Materials science
- Quantum mechanics
Background:
- Density functional theory (DFT) is a powerful tool for materials science.
- Delocalization error in DFT leads to inaccurate predictions, such as underestimated band gaps and misaligned interface energy levels.
- Accurate modeling of materials and molecules is crucial for scientific advancement.
Purpose of the Study:
- To introduce a new method, lrLOSC, to correct delocalization error in DFT.
- To improve the accuracy of predicting fundamental band gaps and energy levels in materials.
- To enable unified DFT modeling of molecules, materials, and their interfaces.
Main Methods:
- Development and implementation of the lrLOSC method.
- Application of lrLOSC to predict fundamental gaps for eleven materials.
- Parallel implementation of lrLOSC for molecular property calculations.
Main Results:
- lrLOSC corrects delocalization error across a wide range of material band gaps.
- Predicted fundamental gaps for eleven materials are accurate to within 0.22 eV.
- Nonzero total energy corrections are provided, and molecular properties show improvement.
Conclusions:
- lrLOSC effectively addresses delocalization error in DFT calculations.
- The method enhances the predictive accuracy for material properties and molecular behavior.
- lrLOSC represents a significant step towards unified DFT modeling across different systems.
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