heavy targets like tungsten--have highlighted the sensitivity of elastic scattering patterns to deformation parameters [6; 7]. For example, [PERSON] et al. [8] demonstrated that nuclear deformation parameters are 15-35% larger compared to traditional models by using high-energy heavy-ion scattering data. This finding underscores the importance of microscopic coupled-channel calculations for more accurately modeling the effects of deformation on elastic scattering cross sections. Similarly, [PERSON] et al. [9] made critical contributions to the validation of theoretical models by obtaining differential cross sections from high-precision neutron scattering experiments on the \({}^{54}\)Fe nucleus, employing time-of-flight techniques and advanced detector systems. On the theoretical side, [PERSON] et al. [10] employed deep learning methods to predict the neutron density distribution and neutron skin thickness of the \({}^{48}\)Ca nucleus, notably improving model accuracy for large-angle scattering. Additionally, [PERSON] and colleagues [11] applied Bayesian approaches to reduce uncertainties in elastic scattering and single-nucleon transfer reaction cross sections, achieving significant improvements particularly for the \({}^{48}\)Ca and \({}^{208}\)Pb nuclei. The Skyrme-Hartree-Fock Woods-Saxon (SHF-WS)-based density distributions and single-folding potential approach used in this study are consistent with these modern methods and demonstrate high agreement with experimental data in neutron elastic scattering simulations involving tungsten isotopes. However, for more precise modeling of deformation effects and reduction of theoretical uncertainties, the integration of advanced microscopic models and statistical analyses will constitute a crucial direction for future research. Validating simulation results of nuclear systems against existing experimental data enhances the credibility and reliability of the simulation software. This is why experimentally obtained nuclear data are needed for the development and validation of such modeling. Such data are available from the IAEA Experimental Nuclear Reaction Data library (EXFOR (Vienna, Austria)) [12]. In cases where experimental data cannot be obtained, validated simulated data, as mentioned above, are used. Accordingly, simulation-generated databases such as ENDF (Vienna, Austria) [13] and TENDL (Paris-Saclay, France) [14] provide valuable reference points for experimental studies. These simulated databases are based on well-accepted nuclear reaction calculation software (TALYS 1.96 (Paris-Saclay, France) [15], EMPIRE (Upton, MA, USA) [16] (available online: [[https://www-nds.iaea.org/empire/](https://www-nds.iaea.org/empire/)]([https://www-nds.iaea.org/empire/](https://www-nds.iaea.org/empire/)), accessed on 30 May 2025), etc.). The data presented in these computed nuclear databases are used by researchers all over the world to simulate various systems and phenomena--including nuclear reactors, radiation detectors, and particle accelerators--through deterministic modeling codes. In addition, simulation of experiments and related studies are essential to understand current experimental research and to further develop existing theories. Verified simulation programs offer a great convenience in performing such calculations. In this way, making the necessary calculations before conducting the intended experiments allows us to be better prepared for the conditions that may arise during the experiments, as well as for the results that might be obtained. In short, simulation programs are used:  
* To design experimental systems tailored to specific research objectives,
* To compare experimental results with simulations to determine error margins and assess the accuracy of the analysis,
* To test the validity and reliability of existing theoretical models. Each particle in nuclear matter, at single-particle energy levels, moves in a mean field formed by the surrounding particles. The nucleons that make up atomic nuclei interact with each other through the nuclear force.