def chung(target, Cv='pore.heat_capacity',
          acentric_factor='pore.acentric_factor',
          mol_weight='pore.molecular_weight',
          viscosity='pore.viscosity',
          temperature='pore.temperature',
          critical_temperature='pore.critical_temperature'):
    r"""
    Uses Chung et al. model to estimate thermal conductivity for gases with
    low pressure(<10 bar) from first principles at conditions of interest

    Parameters
    ----------
    target : OpenPNM Object
        The object for which these values are being calculated.  This
        controls the length of the calculated array, and also provides
        access to other necessary thermofluid properties.

    acentric_factor : string
        Dictionary key containing the acentric factor of the component

    Cv : string
        Dictionary key containing the heat capacity at constant volume
        (J/(mol.K))

    mol_weight : string
        Dictionary key containing the molecular weight of the component
        (kg/mol)

    viscosity : string
        The dictionary key containing the viscosity values (Pa.s)

    temperature : string
        The dictionary key containing the temperature values (K)

    critical_temperatre: string
        The dictionary key containing the critical temperature values (K)

    """
    Cv = target[Cv]
    acentric = target[acentric_factor]
    MW = target[mol_weight]
    R = 8.314
    T = target[temperature]
    mu = target[viscosity]
    Tc = target[critical_temperature]
    Tr = T/Tc
    z = 2.0 + 10.5*Tr**2
    beta = 0.7862 - 0.7109*acentric + 1.3168*acentric**2
    alpha = Cv/R - 3/2
    s = 1 + alpha*((0.215+0.28288*alpha-1.061*beta+0.26665*z) /
                   (0.6366+beta*z+1.061*alpha*beta))
    value = 3.75*s*(mu)*R/(MW)
    return value