Chemical Realkalization of Carbonated Concrete: Influence of Cement Composition on Alkalinity Restoration and Portlandite Formation by Giovana Costa Réus, Renan Pícolo Salvador, Juarez Hoppe Filho, Diego Jesus De Souza, Marcelo H. F. de Medeiros

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Research on predicting the thermocompression deformation behavior of Mg–Li matrix composite using machine learning and traditional techniques by Dandan Li, Xiaoyu Hou, Yangfan Liu, Linhao Gu, Jinhui Wang, Jiaxuan Ma, Xiaoqiang Li, Zhi Jia, Qichi Le, Dexue Liu, Xincheng Yin

“…Artificial intelligence and machine learning (ML) technologies have emerged as powerful tools for analyzing the thermal compression deformation behavior of metal matrix composites, offering significant potential to optimize their plastic deformation processing techniques. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…A general algorithm for an error-based adaptive sampling technique to build the surrogate model is presented. The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. …”
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Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm by Baojiang Li, Gang Cheng, Chunlin Shang, Ruirui Si, Zhenping Shao, Pu Zhang, Wenyu Zhang, Lingbin Kong

“…By comparing the inversion accuracies of single models—namely MLR (Multivariable Linear Regression) model, SVR (Support Vector Regression) model, RF (Random Forest) model, KNN (K-Nearest Neighbor) model, and LightGBM (Light Gradient Boosting Machine)—with that of the combined model (CM) after selecting the optimal model, we found that although the accuracy of the KNN model was the highest among the other single models, the accuracy of the CM model was higher. …”
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Application of response surface methodology (RSM) for experimental optimization in biogenic silica extraction from rice husk and straw ash by Yigezu Temesgen Zewide, Temesgen Atnafu Yemata, Adane Adugna Ayalew, Hawi Jihad Kedir, Asab Alemneh Tadesse, Asmarech Yeshaneh Fekad, Alemayehu Keflu Shibesh, Fentahun Adamu Getie, Tegen Dagnew Tessema, Tessera Alemneh Wubieneh, Wondmagegn Wonago Kululo, Muluken Tilahun Mihiret

“…The effects of three independent ash digestion process factors like sodium hydroxide concentration (1–3 M), temperature (60–120 °C) and time (1–3 h), for silica production from the mixture of rice husk (RH) and rice straw (RS) were studied. A quadratic model was used to correlate the interaction effects of the independent variables for maximum silica production at the optimum process parameters by employing central composite design (CCD) with RSM. …”
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Effect of extensional cyclic strain on the mechanical and physico-mechanical properties of PVC-NBR/graphite composites

“…A preliminary study was done to optimize the possibility to use Conductive Polymer Composites (CPC) as a strain sensor and to evaluate its performance by an intrinsic physico-mechanical modification measurement. …”
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The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults by Jan Vindiš, Jana Pelclová, Paulína Jašková, Karel Hron

“…We aimed (1) to describe optimal 24-hour time-use of compositions for each health outcome, and (2) identify the ‘Goldilock Day’ for all outcomes together. …”
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Influence of ammonium nitrate incorporation on the thermal decomposition kinetics of nitrostarch-based energetic composite by Nassima Sahnoun, Amir Abdelaziz, Djalal Trache, Ahmed Fouzi Tarchoun, Hani Boukeciat, Amel Meslem, Weiqiang Pang

“…The optimal composition of the energetic composite was determined through theoretical performance calculations using the CEA-NASA program. …”
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Software Package for Optimization of Burner Devices on Dispersed Working Fluids by Ruslan V. Fedorov, Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov, Valeriy V. Sapunov

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Determination of optimal thickness level of Komagataeibacter xylinus bacterial cellulose based on media composition of fructose, ammonium sulfate, and soybean boiling wastewater us... by Jasmin Tiara Cinta Saffira, Nugroho Darmawan Ari, Suyantohadi Atris, Kurniawan Muhammad Prasetya

“…Research has focused on finding the optimal media composition to enhance the production of Komagataeibacter xylinus bacterial cellulose using the 3-factor and 2-level Taguchi method and determining the kinetic model for bacterial cellulose formation in the optimal media composition. …”
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Inverse System Decoupling Control of Composite Cage Rotor Bearingless Induction Motor Based on Support Vector Machine Optimized by Improved Simulated Annealing-Genetic Algorithm by Chengling Lu, Junhui Cheng, Qifeng Ding, Gang Zhang, Jie Fang, Lei Zhang, Chengtao Du, Yanxue Zhang

“…Subsequently, an SVM regression equation is established, and the SVM kernel function parameters are optimized using the ISA-GA to train a high-precision inverse system decoupling control model. …”
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Factors Influencing Step Ablation in the Expansion Section of a Composite Nozzle in a Solid Rocket Motor by Jiming Cheng, Chunyu Zhang, Hang Yan, Xiping Feng, Guoqiang Zhu

“…An innovative thermochemical ablation model for composite nozzles was developed to account for wall recession. …”
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Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities by Yunfei Liu, Xu Zhang, Haowen Zhao, Xiang Chen, Bo Yao

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Highly adsorption of alginate/bentonite impregnated TiO2 beads for wastewater treatment: Optimization, kinetics, and regeneration studies by Zainab D. Alhattab, Aseel M. Aljeboree, Mohammed Abed Jawad, Fatime Satar Sheri, Ahmed Kareem Obaid Aldulaim, Ayad F. Alkaim

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Effect of infill pattern on mechanical properties of 3D printed PLA-Zn composites for drone frame structures: A topology optimization integrated application study by P. Arunkumar, D. Balaji, N. Radhika, L. Rajeshkumar, Sanjay Mavinkere Rangappa, Suchart Siengchin

“…Subsequently, PLA-Zn filament (with an 80:20 ratio) was used to develop composite specimens through the fused deposition modeling (FDM) 3D printing technique. …”
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Pareto-driven gradient-boosted Bayesian optimization for multi-objective inverse design of Aerogel-cement-EPS panels in small-sample regimes by Lu Lu, Anming Bai, Haodong Wang, Wenjia Xi, Shan Yun, Shangbing Gao, Mingming Wang, Xinguo Sun

“…The gradient-boosted Bayesian optimization model rapidly establishes complex mappings between material composition and performance, enabling more efficient global optimum search. …”
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Optimization of Tensile Strength Behavior in 3D‐Printed PLA With 10% Terminalia chebula Nanocomposites: Influence of Strain Rate, Orientation, and Infill Percentage by R. Saravanan, Muthuselvan Balasubramanian, T. Sathish, Jayant Giri, A. Johnson Santhosh, Taoufik Saidani, Bashar Tarawneh

“…ABSTRACT This study aims to investigate and maximize the tensile strength behavior of polylactic acid (PLA) 90% and Terminalia chebula nanoparticle (TCNP) 10% composites fabricated using fused deposition modeling (FDM) under varying strain rates (3, 6, 9 mm/min), orientations (0°, 45°, 90°), and infill percentages (30%, 60%, 90%). …”
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Further considerations in A-optimal second-order response surface designs by Bashayer Y. AlKandari, Fatemah Alqallaf, Shahariar Huda

“…Performances of the derived designs and the designs A-optimal for full model relative to each other are investigated. …”
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Design and Optimization of Friction Winch for 25 MW Airborne Wind Energy Systems by Lizhao NIU, Kuo YIN, Chonghui LEI

“…Using the central composite experimental design method, a response surface model was established for the drum's stress, mass and main design structural parameters. …”
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Study on Optimization of Rice-Drying Process Parameters and Directional Regulation of Nutrient Quality by Jinquan Li, Kezhen Chang, Jun Yin, Yi Jin, Xiaokang Yi, Zhongjie Zhang, Yichuan He, Qiaonan Yang, Zhihui Tang, Xiaoyu Liu, Wenfu Wu

“…The relationship between each factor and nutrient quality was revealed through response surface analysis, and the regression model and process optimization parameters were established. …”
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