Enhancement of joint quality for laser welded dissimilar material cell-to-busbar joints using meta model-based multi-objective optimization by Andreas Andersson Lassila, Tobias Andersson, Rohollah Ghasemi, Dan Lönn

“…Artificial neural network-based meta models, trained on numerical results from computational fluid dynamics simulations of the laser welding process, are used to predict and evaluate the joint quality. …”
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On nonlinear coupled differential system for heat transfer in magnetized enclosure with T-shaped baffle by using machine learning by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…An artificial intelligence-based neural model is developed to approximate the Nusselt number along the fin for both heated and cold tips of the T-shaped baffle. The low mean square error (MSE) values and perfect Regression values demonstrate the exceptional performance of the neural model being trained using the Levenberg-Marquardt algorithm. …”
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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

“…The inferred geometry suggests that fluid migration is controlled by fault-related damage zones rather than shallow reservoirs. …”
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A Study of the Soil–Wall–Indoor Air Thermal Environment in a Solar Greenhouse by Zhi Zhang, Yu Li, Liqiang Wang, Weiwei Cheng, Zhonghua Liu

“…The temperature change can be classified into four categories according to K-means classification, which was optimized based on the grey wolf algorithm. The categories were as follows: high-temperature region, medium-high temperature region, medium-low temperature region, and low-temperature region. …”
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Evaluation of hydraulic fracturing using machine learning by Ali Akbari, Ali Karami, Yousef Kazemzadeh, Ali Ranjbar

“…This study presents a comprehensive machine learning (ML)-based framework to address this challenge by predicting HF efficiency using three widely used algorithms: Random Forest (RF), Support Vector Machine (SVM), and Neural Networks (NN). …”
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Development of a New Correlation Model for Heat Transfer in Solar Air Heater with Corrugated Absorber Plates Using Swarm Optimization by Abdulkadir Kocer, Uğur Ercan, Zeki Yetgin, Filiz Karaomerlioglu

“…Solar air heaters play a crucial role in distributing heated air at low to medium temperatures. The heart of these systems lies in the absorber plate, which directly absorbs solar heat energy and then efficiently transfers it to the flowing air. …”
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Investigation on the Effects of Distance-to-Diameter Ratio of piers on the Hydraulic Characteristics in a 90° Open Channel Bend by Xi Shi, Tingting Song, Hui Chen, Hu Tao, Yuanshun Huo

“…The simulation employed the PISO algorithm coupled with the RNGk − ε turbulence model, along with the Volume of Fluid (VOF) method for free-surface tracking. …”
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Optimization of Micro-Texture Parameters for Machine Tool Guide Rail Combination Based on Response Surface Methodology and Research on Its Anti-Friction and Lubrication Performance by Youzheng Cui, Bingyang Yan, Minli Zheng, Haijing Mu, Chengxin Liu, Dongyang Wang, Xinmiao Li, Qingwei Li, Hui Jiang, Fengjuan Wang, Qingming Hu

“…This texture can still significantly improve drag reduction and wear resistance in a low-oil state.…”
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CcpA-mediated regulation of cellular energy metabolism in the ruminal bacterium Streptococcus bovis by Yunan Weng, Yaqian Jin, Wenze Zhang, Lihong Wang, Hongrong Wang

“…In this study, ccpA knockout decreased fermentation fluid lactate concentration but increased formate concentration. …”
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Coprime dual-velocity encoding for extended velocity dynamic range in 4D flow magnetic resonance imaging by Marta Beghella Bartoli, Sara Boccalini, David Chechin, Loic Boussel, Philippe Douek, Damien Garcia, Monica Sigovan

“…Dual velocity encoding (dual-VENC) strategies have emerged to obtain quantitative information on both low and high blood flow velocities simultaneously. …”
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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

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An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems by Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv

“…Vortex-induced vibration (VIV) is a common fluid–structure interaction phenomenon in practical engineering with significant research value. …”
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An artificial neural network approach to comparative aspects: A predictive analysis of magnetic dipole on the heat transfer of maxwell hybrid nano coolants flow in an inclined cyli... by J. Aruna, H. Niranjan

“…New governing equations are formulated using SAE 10W-30 as the base fluid, incorporating ferrous ferric oxide (Fe₃O₄) and graphene oxide (GO) nanoparticles, along with thermal and solutal stratification boundary conditions. …”
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Cognitive weaknesses or impairments on the NIH toolbox cognition battery in children and adolescents: base rates in a normative sample and proposed methods for classification by Nathan E. Cook, Nathan E. Cook, Nathan E. Cook, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Justin E. Karr

“…This study examined the frequency of low NIHTB-CB scores and proposes flexible algorithms for identifying cognitive weaknesses and impairment among youth.MethodsParticipants were 1,269 youth from the NIHTB-CB normative sample who did not have a neurodevelopmental, psychiatric, or medical problem that might be associated with cognitive difficulties (53% boys and 47% girls; M = 11.8 years-old, SD = 3.0, range 7–17). …”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…The proposed model demonstrated several advantages over conventional approaches: 1) Enhanced accuracy and relevance: The model ensured highly accurate and practically applicable results by carefully defining fitting parameters and incorporating engineering constraints. 2) Robust theoretical foundation: It was grounded in established mathematical theory and principles of fluid mechanics. 3) Practicality and efficiency: The model featured low implementation costs and high computational efficiency, presenting a viable and promising alternative for field evaluations. …”
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Genetic copy number variation and general cognitive ability. by Andrew K MacLeod, Gail Davies, Antony Payton, Albert Tenesa, Sarah E Harris, David Liewald, Xiayi Ke, Michelle Luciano, Lorna M Lopez, Alan J Gow, Janie Corley, Paul Redmond, Geraldine McNeill, Andrew Pickles, William Ollier, Michael Horan, John M Starr, Neil Pendleton, Pippa A Thomson, David J Porteous, Ian J Deary

“…Here we investigate associations between large (≥500kb), rare (<1% population frequency) CNVs and both fluid and crystallized intelligence in community-dwelling older people. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…In terms of technical implementation, combined with HyperMesh 2023 refinement mesh generation, ABAQUS 2023 simulates the stress distribution of gear under thermal fluid solid coupling conditions, the Gaussian process regression (GPR) stress prediction model, and a fault diagnosis algorithm based on wavelet transform and the depth residual shrinkage network (DRSN), and analyzes the vibration signal and stress distribution of gear under normal, broken tooth, wear and pitting fault types. …”
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A hybrid AI-CFD framework for optimizing heat transfer of a premixed methane-air flame jet on inclined surfaces by Panit Kamma, Kittipos Loksupapaiboon, Juthanee Phromjan, Chakrit Suvanjumrat

“…This study presents a novel integration of artificial intelligence (AI) and computational fluid dynamics (CFD) simulations to investigate and optimize the heat transfer characteristics of a premixed methane-air flame jet impinging on an inclined surface. …”
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Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions by Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

“…Using the LS-DYNA software’s fluid–solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. …”
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Machine Learning Approach to Aerodynamic Analysis of NACA0005 Airfoil: ANN and CFD Integration by Taiba Kouser, Dilek Funda Kurtulus, Srikanth Goli, Abdulrahman Aliyu, Imil Hamda Imran, Luai M. Alhems, Azhar M. Memon

“…A robust Scaled Conjugate Gradient (SCG) algorithm is employed for efficient training of data. …”
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