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Jon Drobny
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Removed further references to pybca.
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examples/benchmark_eam.py

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from libRustBCA.pybca import *
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from libRustBCA import *
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import numpy as np
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import matplotlib.pyplot as plt
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import sys

examples/benchmark_nnp.py

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from libRustBCA import *
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import numpy as np
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import matplotlib.pyplot as plt
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import sys
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import os
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#This should allow the script to find materials and formulas from anywhere
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sys.path.append(os.path.dirname(__file__)+'/../scripts')
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sys.path.append('scripts')
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from materials import *
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from formulas import *
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R_T_Be = np.array(
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[
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[9.67742, 0.016754618],
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[20.32258, 0.09511873],
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[30.0, 0.13153034],
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[49.677418, 0.102242745],
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[74.83871, 0.08403694],
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[100.32258, 0.031002639],
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]
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)
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R_D_Be = np.array(
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[
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[10.32258, 0.11649077],
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[20.32258, 0.19168866],
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[30.32258, 0.19722955],
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[49.677418, 0.17269129],
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[75.16129, 0.11174142],
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[100.0, 0.044459105],
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]
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)
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R_H_Be = np.array(
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[
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[9.67742, 0.19485489],
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[19.67742, 0.32150397],
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[30.0, 0.33575198],
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[50.322582, 0.25105542],
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[75.16129, 0.1378628],
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[100.645164, 0.044459105],
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]
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)
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#Plotting the MD data points.
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energies = R_H_Be[:, 0]
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R = R_H_Be[:, 1]
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plt.plot(energies, R, marker='o', linestyle='', label='H on Be MD+NNP')
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#Plotting the MD data points.
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energies = R_D_Be[:, 0]
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R = R_D_Be[:, 1]
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plt.plot(energies, R, marker='x', linestyle='', label='D on Be MD+NNP')
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#Plotting the MD data points.
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energies = R_T_Be[:, 0]
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R = R_T_Be[:, 1]
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plt.plot(energies, R, marker='^', linestyle='', label='T on Be MD+NNP')
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for ion in [hydrogen, deuterium, tritium]:
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energies = np.logspace(1, 2, 25)
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r_rustbca = [reflection_coefficient(ion, beryllium, energy, 0.0, 10000)[0] for energy in energies]
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r_thomas = [thomas_reflection(ion, beryllium, energy) for energy in energies]
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line = plt.plot(energies, r_rustbca, label=f'{ion["symbol"]} on Be RustBCA')[0]
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plt.plot(energies, r_thomas, label=f'{ion["symbol"]} on Be Thomas', linestyle='--', color=line.get_color())
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plt.xlabel('E [eV]')
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plt.ylabel('R_N')
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plt.title('Reflection Coefficients')
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plt.legend()
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plt.savefig('reflection_md_nnp_rustbca.png')
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#Data digitized from https://doi.org/10.1088/1741-4326/ac592a
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#MD+NNP Sputtering Yields
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y_H_Be = np.array([
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[20.004726, 0.0029361406],
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[29.880848, 0.013341782],
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[49.791046, 0.024575423],
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[75.00529, 0.016207783],
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[99.68844, 0.017530797],
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])
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y_D_Be = np.array([
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[19.9699, 0.005002439],
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[29.601622, 0.021064475],
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[49.76866, 0.03461476],
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[74.71549, 0.030082114],
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[99.954605, 0.013559438],
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])
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y_T_Be = np.array([
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[20.013433, 0.0025699555],
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[29.85846, 0.01879205],
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[49.756844, 0.04147379],
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[74.707405, 0.034042966],
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[99.68098, 0.01965117],
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])
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plt.figure()
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#Plotting the MD data points.
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energies = y_H_Be[:, 0]
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y = y_H_Be[:, 1]
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plt.semilogy(energies, y, marker='o', linestyle='', label='H on Be MD+NNP')
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#Plotting the MD data points.
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energies = y_D_Be[:, 0]
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y = y_D_Be[:, 1]
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plt.semilogy(energies, y, marker='x', linestyle='', label='D on Be MD+NNP')
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#Plotting the MD data points.
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energies = y_T_Be[:, 0]
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y = y_T_Be[:, 1]
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plt.semilogy(energies, y, marker='^', linestyle='', label='T on Be MD+NNP')
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for ion in [hydrogen, deuterium, tritium]:
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energies = np.logspace(1, 2, 25)
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y_rustbca = [sputtering_yield(ion, beryllium, energy, 0.0, 100000) for energy in energies]
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plt.semilogy(energies, y_rustbca, label=f'{ion["symbol"]} on Be RustBCA')
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yamamura_yield = [yamamura(hydrogen, beryllium, energy) for energy in energies]
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plt.semilogy(energies, yamamura_yield, label='Yamamura H on Be', linestyle='--')
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plt.title('Sputtering Yields of Hydrogenic Species on Be')
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plt.xlabel('E [eV]')
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plt.ylabel('Y [at/ion]')
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plt.gca().set_ylim([1e-4, 1e-1])
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plt.legend(loc='lower right')
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plt.savefig('sputtering_md_nnp_rustbca.png')

examples/test_morse.py

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from libRustBCA.pybca import *
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from libRustBCA import *
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import numpy as np
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import matplotlib.pyplot as plt
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import sys

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