An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…In this work, we propose a computational fluid dynamics (CFD), machine learning (ML), and an artificial intelligence (AI) based computational framework for hemodynamics simulation of couple-stressed hybrid nano-integrated blood flow through parallel plates under external squeezing. …”
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Periodic cosmic string formation and dynamics by Michael A. Fedderke, Junwu Huang, Nils Siemonsen

“…We demonstrate these periodic dynamics with numerical simulations in both 2 + 1 and 3 + 1 dimensions, in both Minkowski spacetime and in a radiation-dominated Friedmann-Lemaître-Robertson-Walker (FLRW) universe, and we explain some features of the evolution (semi-)analytically. …”
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Simulation of self-ignition flame suppression for high-pressure hydrogen release using porous media by Haoran YANG, Gan CUI

“…MethodsA numerical model of a high-pressure hydrogen release pipeline segment with porous medium was established in Ansys Fluent, using the large eddy simulation model, the eddy dissipation concept model, a 21-step detailed hydrogen-air chemical reaction mechanism, and an isotropic porous material model. …”
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Dynamic analysis of cold end accident conditions for a space gas-cooled reactor coupled with He–Xe brayton cycle system by Tao Liu, Yan Zhang, Chenchen Zhao, Honglei Huo, Quanbin Zhao, Weixiong Chen

“…Different accident scenarios, such as partial loss of NaK coolant flow and partial heat pipe failure, were simulated. …”
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Flow and heat transfer characteristics of 3D printed sheet and solid triply periodic minimal surfaces porous structures by Jiajie Hu, Wei Xu, Huixin Liang, Jianping Shi, Wenlai Tang, Baocheng Guo, Jiquan Yang, Liya Zhu

“…The heat transfer performance of different TPMS structures and the fin structure was researched by means of computational fluid dynamics (CFD) simulations and experimental methods. …”
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Frequent estuarine engineering exacerbates flood risk in the Greater Bay Area by Ping Zhang, Haichen Liu, Huayang Cai, Suying Ou, Zhijun Dai, Jianliang Lin, Qingshu Yang

“…Hydrodynamic analysis reveals that deposition-induced tidal range attenuation at the bay mouth partially moderates flood risk acceleration, whereas synergistic effects of erosional dredging and convergent reclamation amplify both tidal and surge dynamics, consequently exacerbating flood risk in the inner bay, with the tidal reach exhibiting intermediate trends due to energy dissipation through Humen Inlet. …”
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