Strong convergence of a fully discrete finite element approximation of   the stochastic Cahn-Hilliard equation
  We consider the stochastic Cahn-Hilliard equation driven by additive Gaussian noise in a convex domain with polygonal boundary in dimension $d\le 3$. We discretize the equation using a standard finite element method in space and a fully implicit backward Euler method in time. By proving optimal error estimates on subsets of the probability space with arbitrarily large probability and uniform-in-time moment bounds we show that the numerical solution converges strongly to the solution as the discretization parameters tend to zero. 
Daisuke Furihata, Mih\'aly Kov\'acs, Stig Larsson, Fredrik Lindgren
math.NA