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2024-12-03 18:01:43,681 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-03 18:01:43,681 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-03 18:02:09,739 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-03 18:02:09,739 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 10:46:07,160 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 10:46:07,160 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:03:14,362 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:03:14,362 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:10:22,405 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:10:22,405 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:12:41,336 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:12:41,337 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:15:02,788 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:15:02,788 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:45:08,931 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:45:08,931 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:45:21,520 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:45:21,520 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:47:37,380 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:47:37,380 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
2024-12-04 11:47:49,433 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\config.json | ||
2024-12-04 11:47:49,433 - qDNA.tools.save_load - INFO - Data loaded from C:\Users\Dennis Herb\OneDrive\2_Uni\Doktor\python_projects\QuantumDNA\qDNA\data\raw\tb_models.json | ||
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{ | ||
"data": { | ||
"E_A": -4.2, | ||
"E_C": -4.6, | ||
"E_G": -4.0, | ||
"E_T": -4.6, | ||
"t_AA": 0.1054, | ||
"t_AG": 0.1124, | ||
"t_GA": 0.0472, | ||
"t_GG": 0.0525 | ||
}, | ||
"metadata": { | ||
"notes": "Calculated with SIESTA and DZP basis set", | ||
"particle": "hole", | ||
"source": "Endres2002", | ||
"tb_model_name": "WM", | ||
"unit": "eV" | ||
} | ||
} |
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{ | ||
"data": { | ||
"E_A": -7.95, | ||
"E_C": -8.3, | ||
"E_G": -7.75, | ||
"E_T": -8.3, | ||
"t_AA": -0.0695, | ||
"t_AG": -0.071, | ||
"t_GA": -0.1871, | ||
"t_GG": -0.1409 | ||
}, | ||
"metadata": { | ||
"notes": "Calculated with SIESTA and DZP basis set", | ||
"particle": "hole", | ||
"source": "Endres2002", | ||
"tb_model_name": "WM", | ||
"unit": "eV" | ||
} | ||
} |
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# QuantumDNA Custom Matplotlib Stylefile | ||
# -------------------------------------- | ||
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# Improting qDNA saves this Matplotlib style file in the directory specified by | ||
# `import matplotlib as mpl; mpl.get_configdir()` | ||
# >>> 'C:\\Users\\<username>\\.matplotlib' | ||
# Once saved, it becomes globally accessible and can be applied using | ||
# `import matplotlib.pyplot as plt; plt.style.use('qDNA-default')`. | ||
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# LaTeX rendering | ||
# --------------- | ||
# Note: Latex must be installed locally | ||
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# text.usetex: True | ||
# text.latex.preamble: \usepackage{amsmath}\usepackage{siunitx} | ||
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# Font settings | ||
font.family: serif | ||
# font.serif: Times New Roman # Used in elsarticle (Elsevier) | ||
font.serif: Computer Modern Roman # Used in revtex4-2 (APS) | ||
# ------------- | ||
# View all available fonts by running | ||
# `import matplotlib.font_manager as fm; sorted([f.name for f in fm.fontManager.ttflist])` | ||
# Use serif font Latex, e.g. Times New Roman for elsarticle (Elsevier) and revtex4-2 (APS) | ||
# DejaVu fonts are matplotlib default and therefore always available | ||
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# font.family: serif | ||
# font.serif: DejaVu Serif, Times New Roman, cmr10 | ||
# mathtext.fontset: dejavuserif | ||
font.family: sans-serif | ||
font.sans-serif: DejaVu Sans, Calibri, Arial | ||
mathtext.fontset: dejavusans | ||
font.size: 15 | ||
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# Figure size | ||
# ----------- | ||
# revtex4-2 (APS) one-column: [8.64468/2.54, 8.64468/2.54 * 3/4] | ||
# elsarticle (Elsevier) one-column: [8.85553/2.54, 8.85553/2.54 * 3/4] | ||
figure.figsize: 6.4, 4.8 # Default ratio 4:3 | ||
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# Axes, labels, and legend | ||
# ------------------------ | ||
axes.titlesize: large # Font size for title | ||
axes.labelsize: medium # Font size for axis labels | ||
legend.fontsize: small # Font size for legend | ||
xtick.labelsize: small # Font size for x-tick labels | ||
ytick.labelsize: small # Font size for y-tick labels | ||
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# Lines and markers | ||
# ----------------- | ||
lines.linewidth: 2.0 # Default line width | ||
lines.markersize: 8.0 # Default marker size | ||
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# Grid and layout | ||
# --------------- | ||
axes.grid: True # Always show grid | ||
grid.linestyle: -- # Grid line style | ||
# grid.color: lightgray | ||
grid.alpha: 0.7 # Grid transparency | ||
figure.autolayout: True # Automatically apply tight_layout | ||
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# Define the color cycle using the full seaborn deep palette | ||
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# Colors | ||
# ------ | ||
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# Color cycle using the full seaborn deep palette | ||
axes.prop_cycle: cycler('color', ['4C72B0', '55A868', 'C44E52', '8172B2', 'CCB974', '64B5CD']) | ||
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# Define the color cycle using the tab10 palette | ||
# Color cycle using the matplotlib default tab10 palette | ||
# axes.prop_cycle: cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']) |
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