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This paper aims to comprehensively explore the pivotal role of simulation and modeling in the field of Artificial Intelligence (AI). It focuses on elucidating the diverse applications of simulation and modeling in training AI systems, optimizing algorithms, and enhancing decision-making processes. To achieve this objective, we conducted an extensive review of the literature from the Scopus database, employing a well-defined selection process. We utilized keywords such as "simulation," "modeling," "Artificial Intelligence," and related terms to identify relevant papers published within the last 10 years. The selection criteria included assessing the relevance, quality, contribution, and recent citations of the papers. After a rigorous screening process, we selected 40 papers with the highest overall scores for inclusion in our review. The selected papers encompass a wide range of domains where simulation and modeling play a vital role in advancing AI applications. These domains include manufacturing, healthcare, energy consumption prediction, public sector decision-making, education, environmental modeling, and more. Our review highlights how AI leverages simulation and modeling to improve predictive accuracy, optimize resource allocation, and enhance decision-making processes across diverse sectors. We also discuss the potential future directions in the integration of simulation and modeling with AI, emphasizing its significance in various fields. [ABSTRACT FROM AUTHOR]

• Explored 3T-APTSC to overcome single-junction solar cell limitations, especially the SQ limit. • Demonstrated the superiority of three-terminal tandems, optimizing current matching and allowing independent adjustments. • Optimized PV parameters for 3T-APTSC: V OC 3.76 V, J SC 10.70 mA/cm2, FF 69.00 %, PCE 26.24 %. Despite numerous publications on two-junction tandems using SCAPS-1D simulation, there is a gap in research regarding three-junction tandems. This paper explores the advantages of three junction all-perovskite tandem solar cells (3J-APTSC) where we introduce a new methodology utilizing two-step filtered spectrum and current matching techniques in SCAPS-1D to design realistic tandem solar cells. Crucial steps involve determining filtered spectrum and current matching points among sub-cells for tandem optimization. Our designed three-terminal tandem solar cell exhibits promising photovoltaic parameters, including V OC : 3.76 V, J SC : 10.70 mA/cm2, FF: 69.00 %, and PCE: 26.24 %, achieved through optimized active layer thicknesses. This thorough examination of 3J-APTSC offers insights that could drive the future development of highly efficient tandem solar cells. [ABSTRACT FROM AUTHOR]

• Double truncated tetrahedral tensegrity (DTTT) structure is firstly introduced. • DTTT exhibits superior energy absorption compared to traditional truss lattices. • DTTT with relative density of 12% displays the optimal mechanical performances. In this paper, we studied a double truncated tetrahedron tensegrity (DTTT) structure. A experiment and simulation investigation were made to explore the compressibility of DTTT structure. Firstly, the relative density of the structure is controlled by the thickness of the bar, and to control the relative density to explore its impact on structural compression performance. The results show that DTTT structure has the best compression performance when the relative density is 12%. Under these conditions, FCC and Kelvin structures are introduced as contrast groups. The results show that DTTT structure exhibits excellent energy absorption performance, average crushing force performance and crushing force efficiency performance, and the crushing efficiency performance is higher than 36% of FCC, more than 42% of Kelvin. [ABSTRACT FROM AUTHOR]