ass1: Add T_c vs rho diagram, draft other questions
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@ -13,7 +13,7 @@
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pages = {17--27},
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}
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@book{smidt,
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@book{schmidt,
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address = {Berlin},
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title = {The {Physics} of superconductors: introduction to fundamentals and applications},
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isbn = {9783642082511},
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@ -31,7 +31,8 @@ df = pd.DataFrame(
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['Hf', .38, 340., '[webb]', '[crc]'],
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['Ir', .1, 47., '[webb]', 'at 273 K [crc]'],
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['Lu', .1, 582., '[webb]', '[crc]'],
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['Be', 1440, 37.6, '[webb]', '[crc]'],
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#['Be', 1440, 37.6, '[webb]', '[crc]'],
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['Be', .026, 37.6, '[schmidt] (but [webb] reports 1440 K)', '[crc]'],
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['W', .01, 54.4, '[webb]', '[crc]'],
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['Li', .0004, 95.5, '[webb]', '[crc]'],
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['Rh', .0003, 43., '[webb]', 'at 273 K [crc]'],
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@ -47,3 +48,15 @@ table = re.sub(r'\[(\w+)\]', r'\\cite{\1}', table)
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with open('sc_elements.tex', 'w') as table_file:
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table_file.write(table)
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from matplotlib import pyplot as plt
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fig, ax = plt.subplots(figsize=(15, 9))
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df.plot('rho_300', 'T_c', kind='scatter', ax=ax)
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for k, v in df.iterrows():
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ax.annotate(v['element'], (v['rho_300'], v['T_c']))
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#fig.show()
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fig.savefig('/home/kvkempen/Documents/20212022Q3/Superconductivity/assignments/sc_elements.pdf')
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plt.close(fig)
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@ -29,7 +29,7 @@ Element & $T_c (\si{\kelvin})$ & $\rho_{300 K} (\si{\nano\ohm\meter})$ & S
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Hf & 0.3800 & 340.00 & \cite{webb} & \cite{crc} \\
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Ir & 0.1000 & 47.00 & \cite{webb} & at 273 K \cite{crc} \\
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Lu & 0.1000 & 582.00 & \cite{webb} & \cite{crc} \\
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Be & 1440.0000 & 37.60 & \cite{webb} & \cite{crc} \\
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Be & 0.0260 & 37.60 & \cite{schmidt} (but \cite{webb} reports 1440 K) & \cite{crc} \\
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W & 0.0100 & 54.40 & \cite{webb} & \cite{crc} \\
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Li & 0.0004 & 95.50 & \cite{webb} & \cite{crc} \\
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Rh & 0.0003 & 43.00 & \cite{webb} & at 273 K \cite{crc} \\
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