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Published on: May 27, 2020
Nonlocal Orbital-Free Kinetic Energy Functional from the Jellium-with-Gap Model for Finite Systems
Abhishek Bhattacharjee1, Subrata Jana2, Szymon Śmiga2
1School of Physical Sciences, National Institute of Science Education and Research, An OCC of Homi Bhabha National Institute, Bhubaneswar 752050, India.
A new nonlocal kinetic energy density functional (NL-KEDF) improves orbital-free density functional theory (OF-DFT) for finite systems like molecular clusters. This advance enhances computational efficiency and accuracy for nanomaterial design.
Area of Science:
- Computational materials science
- Quantum chemistry
- Condensed matter physics
Background:
- Orbital-free density functional theory (OF-DFT) offers computational efficiency for large systems.
- Accurate kinetic energy density functionals are crucial for OF-DFT, especially for finite systems.
- Nonlocal kinetic energy density functionals (NL-KEDFs) are key to improving OF-DFT's applicability.
Purpose of the Study:
- Develop a novel NL-KEDF for accurately describing finite systems.
- Extend the utility of OF-DFT to molecular clusters and diverse density regimes.
- Enhance the computational framework for nanomaterial design and nanoscale phenomena.
Main Methods:
- Formulation of an NL-KEDF based on the linear-response kernel from the jellium-with-gap model (JGM).
- Benchmark calculations on finite systems, including molecular clusters.
- Analysis of Pauli potentials to assess functional accuracy.
Main Results:
- The proposed NL-KEDF accurately describes diverse density regimes in finite systems.
- Achieved higher accuracy compared to existing state-of-the-art orbital-free methods.
- Computed optical properties show good agreement with reference data, demonstrating reliability.
Conclusions:
- The developed NL-KEDF provides a robust and efficient extension of OF-DFT for finite systems.
- This advancement facilitates accurate modeling for nanomaterial design.
- Enables a deeper understanding of nanoscale phenomena through improved computational methods.
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