A Quasicontinuum Method With Optimized Local Maximum-Entropy Interpolation and Heaviside Enrichment for Heterogeneous Lattices B. Werner, O. Rokos and J. Zeman International Journal for Numerical Methods in Engineering, 127, e70390 (2026). ABSTRACT Lattice systems are indispensable for modeling and analyzing physical phenomena in materials with discrete or heterogeneous micro- or meso-structures. However, the computational requirements for practical engineering applications of lattice systems remain high. The quasicontinuum (QC) method addresses this by reducing the system of equations using a finite element mesh interpolation, rather than considering all nodes of a fully resolved lattice. Nevertheless, interfaces between separate phases in heterogeneous materials, such as concrete, require fine meshes throughout the domain, diminishing the effectiveness of QC. Enrichment strategies originally introduced in the extended finite element method (XFEM) can also account for material interfaces in discrete systems using nonconforming meshes, thereby resolving this issue. In a previous study, we applied Heaviside enrichment to investigate concrete mesostructures with the extended QC method, achieving a tenfold reduction in the number of unknowns while maintaining similar accuracy compared to discretizations with fully resolved interfaces. In the present study, we employ the meshless local maximum entropy (LME) interpolation, which transitions seamlessly from widespread meshfree to linear basis functions. Additionally, we combine LME interpolation with Heaviside enrichment and systematically investigate the role of the locality parameter and its optimization in heterogeneous lattices. This combination of optimized LME basis functions with Heaviside enrichment leads to an order-of-magnitude improvement in displacement accuracy while using the same number of degrees of freedom (DOF) compared to QC with linear interpolation. Moreover, we identify optimized distributions of the LME locality parameter and propose simple, non-optimized rules that deliver comparable accuracy at a fraction of the computational cost. Results from three numerical examples show that the optimal locality-parameter fields are nonuniform near interfaces and can be approximated by simple pattern-based rules that retain much of the benefit of full optimization.