<p>Additive manufacturing has brought about an opportunity for the design and manufacturing of 2D engineered macromolecules with shape memory effects incorporating the desired mechanical properties. Recent advances in this field have shown a variety of choices for composites. In this work, two types of composites (RCSPTPA stands for: Resin + Carbon nanotube-NH₂ + SBA-11 + PEG-400 + Tween-40 + PVA + SiO₂ and RGTTACP which is: Resin + gelatin + TMPTA + TPGDA + AIBN + chitosan + PVA) with specific formulations were successfully printed based on visco-elastoplastic and shape memory responses. The desired properties are achieved when a small amount of selected nanomaterials is induced within the resin matrix, which produces an improvement in the inherent features of zero-D printed macromolecular composites. The algorithmically composites were showed flexible printability of quality and exhibiting a geometrical intelligence of molecules in the toolbox the matrices to affinity for responsibility. The linear shape-changing results of printed composites exhibited a decrease of the recovery time, as compared to pristine platform. The amount of reversibility of an RCSPTPA for and RGTTACP having conductive patterns were 2.31 and 2.18 times that of pristine platform. The overall efficiency was calculated to be 56.72 and also 54.25 for RCSPTPA and RGTTACP platforms that had been printed with conductive patterns. For the lattice structure, the recovery value was equal to 2.94&#xa0;s, which was a semi-high shear stress process of 4D printing-shape-changing system. The 3D printed models had suitable mechanical-stiffness properties which gave a specific feature to the platforms. The physical correlations of the 3D printed composite were induced to adopt a conductive-induced behavior. The results from resistance tests demonstrated that the electrical conductance of printed patterns was stable across the entire structure in various distances over time, creating a uniform in-plane electrical current, exhibiting a one-quarter pressure strain recovery effect. The resultant conductive platforms successfully lit an LED lamp, showing the electrical current stability. To characterize the microscopic properties of the printed platforms, tests are DMTA, XRD, and FESEM. This research effectively aimed to develop a better understanding of the shape memory behavior in which integration of stimuli-responsive materials, geometrical structure of platform, and conducting patterns could be induced to create a novel 4D phenomenon.</p>