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docs/Atomic simulation of materials/DFT in solids.md

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**1. Kohn-sham equation (Auxiliary method)**
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$$
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(-\frac{1}{2}\grad + \underset{V_{eff}(\vec{r_1})}{\underbrace{{V_{ne} +V_H+V_{xc}}}})\, \theta_i (\vec{r_1}) = \epsilon_i \theta_i(\vec{r_i})
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(-\frac{1}{2}\nabla + \underset{V_{eff}(\vec{r_1})}{\underbrace{{V_{ne} +V_H+V_{xc}}}})\, \theta_i (\vec{r_1}) = \epsilon_i \theta_i(\vec{r_i})
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$$
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**2. SCF Loop**
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Effective but over-binding
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- **GGA:** add $\grad \rho(\vec{r})$ (Non-homogeneity)
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- **GGA:** add $\nabla \rho(\vec{r})$ (Non-homogeneity)
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$E_\text{xc}^\text{GGA} = \int f(\rho,\grad \rho)d\vec{r}= E_\text{x}^\text{GGA}(\rho) +E_\text{c}^\text{GGA}(\rho)$
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$E_\text{xc}^\text{GGA} = \int f(\rho,\nabla \rho)d\vec{r}= E_\text{x}^\text{GGA}(\rho) +E_\text{c}^\text{GGA}(\rho)$
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e.g. PBE, BLYP, ...
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docs/Atomic simulation of materials/DFT.md

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The actual density functional theory calculations are performed on the auxiliary single-electron independent-particle system defined by the mono-electronic auxiliary hamiltonian $\hat{H}_\text{aux}$, also known as the Kohn-Sham operator $\hat{F}_\text{KS}$ in $a.u.:^2$
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$$
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\hat{H}_\text{aux}=\hat{F}_\text{KS}=-\frac{1}{2}\grad^2+V_\text{eff}(r)
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\hat{H}_\text{aux}=\hat{F}_\text{KS}=-\frac{1}{2}\nabla^2+V_\text{eff}(r)
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$$
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\[

docs/Atomic simulation of materials/DFT2.md

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**Kohn-Sham auxiliary system:**
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$\hat{H}_\text{aux}=\hat{F}_\text{KS}=-\frac{1}{2}\grad^2+V_\text{eff}(\vec{r})$
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$\hat{H}_\text{aux}=\hat{F}_\text{KS}=-\frac{1}{2}\nabla^2+V_\text{eff}(\vec{r})$
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Recall that, variational principle $\theta_i(r)\rightarrow \delta \theta_i(r), \delta \text{ is the variation factor}$
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$$
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\hat{F}^\text{KS}\theta_i(r_1)=\epsilon \theta_i (r_1)\\
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-\frac{1}{2}\grad_1^2 +
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-\frac{1}{2}\nabla_1^2 + V_\text{eff}(r_1)
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$$
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$$
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**Generalized Gradient Approximation (GGA)**
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$$
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E_\text{xc}^\text{GGA}=\int f(\rho, \grad\rho)dr
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E_\text{xc}^\text{GGA}=\int f(\rho, \nabla\rho)dr
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$$
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The gradient itself It's more like adding a Tylor expansion, the LDA method is the zero order of the series, while the gradient behaves as polynomials, making it more close the to value.
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The gradient itself It's more like adding a Tylor expansion, the LDA method is the zero order of the series, while the gradient behaves as polynomials, making it more close the to value.
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**Meta-GGA**
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Rung-3 functional on Jacob’s ladder of DFT. It improves over GGA by using additional **semilocal** information about the electron density:
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$$
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E_\text{xc}^\text{meta-GGA} = \int f(\rho,\nabla \rho, \nabla^2 \rho,\tau)
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$$
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- $\tau = \frac{1}{2}\sum_i|\nabla\psi_i|^2 \rightarrow$ kinetic-energy density
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Kinetic energy density physical meanings:
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It is large where orbitals oscillate rapidly (e.g. core, bonding), small where density is smooth.
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1. **bonding type** (metallic, ionic, covalent)
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2. **iso-orbital regions** (single-orbital like H atom)
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3. **weak interactions** (vdW regions)

docs/Atomic simulation of materials/Hartree-Fock.md

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**Energy contribution**
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- Coulomb: $J =\int\mathcal{X_1}^*(x_1)\mathcal{X_2}^*(x_2)\frac{1}{|r_{12}|}\mathcal{X_1}(x_1)\mathcal{X_2}(x_2)dx_1dx_2 = \int|\mathcal{X_1}(x_1)^2|\frac{1}{r_{12}}|\mathcal{X_2}(x_2)^2|dx_1dx_2$
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- Exchange: $K =$
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- Exchange: $K =\int\mathcal{X_1}^*(x_1)\mathcal{X_2}^*(x_2)\frac{1}{|r_{12}|}\mathcal{X_1}(x_2)\mathcal{X_2}(x_1)dx_1dx_2 $
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docs/ML For Materials/JT-VAE_handwritten_derivation_view.md

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You can view or download the full PDF document:
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<div style="text-align: center; margin: 20px 0;">
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<a href="JT-VAE_handwritten_derivation.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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<a href="docs/ML For Materials/JT-VAE_handwritten_derivation.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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📄 Open Handwritten Derivation PDF
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</a>
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</div>
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## Embedded View
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## PDF Preview
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<iframe src="JT-VAE_handwritten_derivation.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<iframe src="docs/ML For Materials/JT-VAE_handwritten_derivation.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<p>Your browser does not support PDFs.
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<a href="JT-VAE_handwritten_derivation.pdf">Download the PDF</a> instead.</p>
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<a href="docs/ML For Materials/JT-VAE_handwritten_derivation.pdf">Download the PDF</a> instead.</p>
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</iframe>
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docs/ML/VAE.md

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<div style="text-align: center; margin: 20px 0;">
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<a href="VAE .pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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<a href="docs/ML/VAE .pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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📄 Open VAE.pdf
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</a>
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</div>
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## Embedded View
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## PDF Preview
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<iframe src="VAE .pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<iframe src="docs/ML/VAE .pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<p>Your browser does not support PDFs.
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<a href="VAE .pdf">Download the PDF</a> instead.</p>
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<a href="docs/ML/VAE .pdf">Download the PDF</a> instead.</p>
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</iframe>
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docs/Python/creating-reading-and-writing_view.md

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<div style="text-align: center; margin: 20px 0;">
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<a href="creating-reading-and-writing.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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<a href="docs/Python/creating-reading-and-writing.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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📄 Open Creating/Reading/Writing Tutorial PDF
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</a>
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</div>
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## Embedded View
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## PDF Preview
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<iframe src="creating-reading-and-writing.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<iframe src="docs/Python/creating-reading-and-writing.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<p>Your browser does not support PDFs.
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<a href="creating-reading-and-writing.pdf">Download the PDF</a> instead.</p>
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<a href="docs/Python/creating-reading-and-writing.pdf">Download the PDF</a> instead.</p>
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</iframe>
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docs/Python/indexing-selecting-assigning_view.md

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<div style="text-align: center; margin: 20px 0;">
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<a href="indexing-selecting-assigning.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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<a href="docs/Python/indexing-selecting-assigning.pdf" target="_blank" style="background-color: #4CAF50; color: white; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; margin: 4px 2px; cursor: pointer; border-radius: 4px;">
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📄 Open Indexing Tutorial PDF
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</a>
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</div>
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## Embedded View
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## PDF Preview
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<iframe src="indexing-selecting-assigning.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<iframe src="docs/Python/indexing-selecting-assigning.pdf" width="100%" height="800px" style="border: 1px solid #ccc;">
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<p>Your browser does not support PDFs.
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<a href="indexing-selecting-assigning.pdf">Download the PDF</a> instead.</p>
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</iframe>
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