Research in surgical robotics and automation has made remarkable advancements in recent years thanks to new methods in computer vision, control, and deep learning. Autonomous end-effector manipulation is a challenging task in surgical robotics, and cutting with scissor tools is largely unexplored. A concurrent work explored path and trajectory generation for cutting deformable materials using the da Vinci Research Kit (dVRK). However, an efficient and realistic simulation is necessary for methods such as reinforcement learning (RL) or learned trajectory planning. Our previous work built a simulation for the dVRK in Unity for training RL algorithms on rigid body tasks [2]. To our knowledge, there is no dVRK simulation available that includes the cutting of deformable materials. This paper introduces a cutting simulation of a deformable mesh, which can represent a tissue layer, built onto our Unity dVRK simulation.