  Molecular dynamics (MD) simulations of successive collision cascades within
the same simulation domain were performed using two different inter-atomic
potentials (IAP) in tungsten, one EAM based and the other a `quantum accurate'
machine learning potential, SNAP. The micro-structural changes are analyzed as
a function of displacements per atom (dpa) up-to irradiation dose of 3 dpa.
Five simulations are carried out at primary knock-on atom (PKA) energies of 20
keV and 50 keV for observing stochastic differences in the evolution of damage.
Results for the variation of the number of defects, number of defect clusters,
their size and morphology distribution are compared for the two energies and
two IAPs, up-to irradiation doses of 1-3 dpa.
  It is seen that for a given IAP, the number density of defect clusters as a
function of dpa does not depend on the energy of the PKA used in the
simulations implying that, like dpa, it could be a good measure of material
property changes in irradiated materials. In contrast, the defect sizes depend
strongly on the energy of the PKA. It is also seen that the micro-structure
resulting from the EAM potential was mostly composed of <1 1 1> and <1 0 0>
dislocations, while that from the SNAP potential was mostly composed of small,
sessile, C15 ring like structures with a smattering of smaller <1 1 1>
dislocations and very few <1 0 0> dislocations. The significant disagreement
between the two IAPs with regard to defect morphology can be used for
validation by comparing against the experimental results of dislocation types,
density and size distributions.
