  In this paper, we establish a central limit theorem (CLT) and the moderate
deviation principles (MDP) for a class of semilinear stochastic partial
differential equations driven by multiplicative noise on a bounded domain. The
main results can be applied to stochastic partial differential equations of
various types such as the stochastic Burgers equation and the
reaction-diffusion equations perturbed by space-time white noise.
