Simulating Thousands of Atoms Using Linear Scaling BigDFT - Applications in Large-Scale Quantum Systems

Simulating Thousands of Atoms Using Linear Scaling BigDFT - Applications in Large-Scale Quantum Systems

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Why DFT with 1000s of Atoms? Why do we Need QM for Large Systems?

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2 of 11

Why DFT with 1000s of Atoms? Why do we Need QM for Large Systems?

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Simulating Thousands of Atoms Using Linear Scaling BigDFT - Applications in Large-Scale Quantum Systems

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  1. 1 Intro
  2. 2 Why DFT with 1000s of Atoms? Why do we Need QM for Large Systems?
  3. 3 Density Matrix Formulation
  4. 4 Support Function Optimisation SF Optimisation
  5. 5 The Algorithm Calculation Steps
  6. 6 Exploiting Similarity Between Fragments
  7. 7 Molecular Fragment Approach
  8. 8 OLED Charge Transport Parameters
  9. 9 Fragment Approach: Beyond Molecules Fragments in Extended Systems optimise SFs for embedded pseudo-fragments ⚫ can define indicators to predict the accuracy of a given setup
  10. 10 Example I: DNA Charge Analysis
  11. 11 Example II: Interactions in Laccase Complexity Reduction of Laccase Enzyme (~7000 atoms)

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