A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization

•A dynamic model is proposed to predict material removal rate for CMP process.•The model employs GPR to fuse similar MRR samples.•The model uses MTGP to describe the behavior of the process change.•The model is capable to yield enhanced predictions with uncertainty quantification.•The result is validated on a public semiconductor dataset.