Core shell nanoparticles

Scattering from cuboidal core-shell particles.

  • The sample is made of core-shell particles whose outer and inner shells are boxes with dimensions L1 = W1 = 16 nm, H1 = 8 nm and L2 = W2 = 12 nm, H2 = 7 nm, respectively, where Li, Wi, and Hi are the length, width and height of box i.
  • The smaller box is positioned so that the centres of the bottom faces of both particles coincide.
  • The simulation is run using the Born approximation. There is no substrate and no interference between the different scattered beams.
  • The planar distribution of the particles is diluted and random.
  • The incident wavelength is equal to 1 Å.
  • The incident angles are αi = 0.2° and Φi = 0°.
Real-space model: 
Intensity Image: 
Python Script: 
Core shell nanoparticles
import bornagain as ba
from bornagain import deg, angstrom, nm

def get_sample():
    Returns a sample with box-shaped core-shell particles on a substrate.
    # defining materials
    m_air = ba.HomogeneousMaterial("Air", 0.0, 0.0 )
    m_shell = ba.HomogeneousMaterial("Shell", 1e-4, 2e-8 )
    m_core = ba.HomogeneousMaterial("Core", 6e-5, 2e-8 )

    # collection of particles
    parallelepiped1_ff = ba.FormFactorBox(16*nm, 16*nm, 8*nm)
    parallelepiped2_ff = ba.FormFactorBox(12*nm, 12*nm, 7*nm)
    shell_particle = ba.Particle(m_shell, parallelepiped1_ff)
    core_particle = ba.Particle(m_core, parallelepiped2_ff)
    core_position = ba.kvector_t(0.0, 0.0, 0.0)

    particle = ba.ParticleCoreShell(shell_particle, core_particle, core_position)
    particle_layout = ba.ParticleLayout()
    interference = ba.InterferenceFunctionNone()

    air_layer = ba.Layer(m_air)

    multi_layer = ba.MultiLayer()

    return multi_layer

def get_simulation():
    Returns a GISAXS simulation with beam and detector defined.
    simulation = ba.GISASSimulation()
    simulation.setDetectorParameters(200, -1.0*deg, 1.0*deg,
                                     200, 0.0*deg, 2.0*deg)
    simulation.setBeamParameters(1.0*angstrom, 0.2*deg, 0.0*deg)
    return simulation

def run_simulation():
    Runs simulation and returns intensity map.
    simulation = get_simulation()
    return simulation.getIntensityData()

if __name__ == '__main__':
    result = run_simulation()