  A high dimensional artificial neural network interatomic potential for Mo is
developed. To train and validate the potential density functional theory
calculations on structures and properties that correlate to fracture, such as
elastic constants, surface energies, generalized stacking fault energies, and
surface decohesion energies, have been employed. The potential provides total
energies with a root mean square error less than 5\;meV per atom both in the
training and validation data sets. The potential was applied to investigate
screw dislocation core properties as well as to conduct large scale fracture
simulations. These calculations revealed that the 1/2$\langle111\rangle$ screw
dislocation core is non-degenerate and symmetric and mode I fracture is
brittle. It is anticipated that the thus constructed potential is well suited
to be applied in large scale atomistic calculations of plasticity and fracture.
