###### Abstract
Many papers have been researching both lattice types, considering their micro-architecture and primary unit cell shape variability [5]. Lattices are composed of inter-connected networks of struts/beams if they are about circle cross-section or sheets/plates if they are about planar geometry, with broad end-use applications in getting a lightweight design for a product [6]. Advanced computer-aided design (CAD) systems enable control over the lattice creation in various shapes and directions, as additive manufacturing simultaneously allows such intricate designs to be produced [7]. The mechanical properties of artificial cellular materials are not uniform from the aspect of macro-design and differ depending on which shape and material they are made of. Therefore, three major factors determine lattice mechanical properties: the material from which they are made, relative density, and topology [8; 9]. Relative density is the ratio of the lattice structure's physical density \(\rho_{ls}\) to the prime material's density \(\rho_{m}\). The relative density is typically controlled by cell unit size, number, strut thickness, or diameter. Topology is related to node connectivity, which presents the number of struts connected to a node and the shape of the structure's cells. The influence of these three factors is well-investigated among researchers and widely implemented in various studies [10; 11; 12]. Given the applied material, the significant contribution of most conducted studies refers to increased and decreased node connectivity. Increased node connectivity leads to more rigid structures with increased static strength [13] and fatigue strength, while vice versa, it leads to more yielding because structures tend to flex under loading conditions. However, from the other side, the contribution of these three influential factors is quite limited concerning the papers' availability of data related to stochastic structures, particularly emphasizing the application of polymers. Still, the stochastic approach is well-suited for producing lattice parts with nonuniform geometry arrangements due to the struts repeating oriented at different angles and positions [14]. Regarding the control of the design model of the stochastic structure, authors [15] analyze geometries with varying degrees of nodal connectivity, ranging from bending-dominated to stretching-dominated, at different orientations and compare their responses. Still, results did not show a better mechanical response than periodic responses. In support of the results found in [15], authors [16] conducted research that considered lesser nodal connectivity levels than [15] and found stochastic structures had inferior mechanical properties compared to periodic lattices. Besides nodal connectivity variations in the structures, some authors dealt with isotropy and anisotropy lattice properties to reduce the impact of printing direction. In the reference [14], the authors presented a modified stochastic structure with great potential to be used as basic structures that achieve uniform stiffness in all directions. Some investigations [17] went a step further and gave the first model to predict the anisotropic apparent modulus and strength of structures based on lattice density and fabric tensors, which are helpful in the mechanical design of components. If dealing with design models and various methodologies put aside, the authors [18] also researched mechanical responses of the lattice structures with stochastic geometric defects originating directly from the additive manufacturing process. This research is curious because the findings revealed a higher prevalence of geometric imperfections in the horizontal struts compared to the diagonal or vertical struts. Regarding defects and material properties, it is notable that the elastic properties of highly connected lattice-truss materials respond to defects in the same manner as homogeneous materials [19].