sknano.structures.compute_N¶

sknano.structures.compute_N(*Ch)[source][source]¶

Compute \(N = \frac{2(n^2+m^2+nm)}{d_R}\).

\(N\) is the number of graphene hexagons mapped to a nanotube unit cell.

Parameters:

Parameters:	*Ch : {`tuple` or `int`s} Either a 2-tuple of ints or 2 integers giving the chiral indices of the nanotube chiral vector \(\mathbf{C}_h = n\mathbf{a}_1 + m\mathbf{a}_2 = (n, m)\).
Returns:	int Number of hexagons per nanotube unit cell: \(N = \frac{2(n^2+m^2+nm)}{d_R}\).

*Ch : {tuple or ints}

Either a 2-tuple of ints or 2 integers giving the chiral indices of the nanotube chiral vector \(\mathbf{C}_h = n\mathbf{a}_1 + m\mathbf{a}_2 = (n, m)\).

Returns:

int

Number of hexagons per nanotube unit cell: \(N = \frac{2(n^2+m^2+nm)}{d_R}\).