  Two-dimensional (2D) materials are among the most studied ones nowadays,
because of their unique properties. These materials are made of, single- or few
atom-thick layers assembled by van der Waals forces, hence allowing a variety
of stacking sequences possibly resulting in a variety of crystallographic
structures as soon as the sequences are periodic. Taking the example of few
layer graphene (FLG), it is of an utmost importance to identify both the number
of layers and the stacking sequence, because of the driving role these
parameters have on the properties. For this purpose, analysing the spot
intensities of electron diffraction patterns (DPs) is commonly used, along with
attempts to vary the number of layers, and the specimen tilt angle. However,
the number of sequences able to be discriminated this way remains few, because
of the similarities between the DPs. Also, the possibility of the occurrence of
C layers in addition to A and/or B layers in FLG has been rarely considered. To
overcome this limitation, we propose here a new methodology based on
multi-wavelength electron diffraction which is able to discriminate between
stacking sequences up to 6 layers (potentially more) involving A, B, and C
layers. We also propose an innovative method to calculate the spot intensities
in an easier and faster way than the standard ones. Additionally, we show that
the method is valid for transition metal dichalcogenides, taking the example of
MoS2.
