Directed self-assembly of block copolymers over chemically patterned substrates has proven to be an effective method for sublithographic patterning. Features on these chemical patterns can be multiplied by the natural domain-spacing of the block copolymer assembled on top of the substrate through pattern interpolation. The LiuNealey (LiNe) chemoepitaxy flow for directed self-assembly allows for modification of the geometry and chemistry of the nanopatterned substrate. The critical dimensions and period along with the chemical composition of the patterned features in the LiNe flow govern the equilibrium morphology of the assembled block copolymer. We demonstrate how the construction of the chemical pattern affects the selection for desired, well-registered assembly of block copolymer melts by using a theoretically informed coarse-grained many-body model of block copolymers. The molecular simulations are used to provide an explanation for how to best design the chemical pattern in the LiNe flow for the directed self-assembly (DSA) of block copolymers to achieve desired line-andspace structures.
Further enhancements to Monte Carlo and Self-Consistent Field Theory Directed Self-Assembly (DSA) simulation capabilities implemented in GLOBALFOUNDRIES are presented and discussed, along with the results of their applications. We present the simulation studies of DSA in graphoepitaxy confinement wells, where the DSA process parameters are varied in order to determine the optimal set of parameters resulting in a robust and etch transferrable phase morphology. A novel concept of DSA-aware assist features for the optical lithography process is presented and demonstrated in simulations. The results of the DSA simulations and studies for the DSA process using a blend of homopolymers and diblock copolymers are also presented and compared with the simulated diblock copolymer systems.