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RESEARCH PAPER · Polymers · 2025

From Research Trend to Performance Prediction: Metaheuristic-Driven Machine Learning Optimization for Cement Pastes Containing Bio-Based Phase Change Materials

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

From Research Trend to Performance Prediction: Metaheuristic-Driven Machine Learning Optimization for Cement Pastes Containing Bio-Based Phase Change MaterialsOriginalRecent Advances in Microencapsulated Phase Change Materials for Energy Efficiency in Buildings: A Review12Multi-objective optimization of mix design for geopolymer foam concrete with industrial solid wastes based on machine learning2Advances in biomass-derived shape-stabilized bio-phase change materials for building thermal management and emerging machine learning approaches2Machine Learning-Driven Prediction and Mechanistic Insight into CO 2 Adsorption on Biomass-Derived Activated Carbons Using Explainable AI (XAI)1Research on Optimizing Strategies for Oil Recovery Rates Based on Artificial Intelligence0Experimental investigation of biochar-based PCM for enhancing solar still desalination of saline water0Shape stabilized phase change materials: Preparation techniques, emerging support matrices, artificial intelligence assisted optimization, and energy storage applications1Review: amorphous aluminosilicate reactivity in alkali-activated materials—from composition to structure0Cement-based phase change material composites for building energy efficiency: a critical review of integration strategies, performance trade-offs, and pathways to practical application0

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  1. Recent Advances in Microencapsulated Phase Change Materials for Energy Efficiency in Buildings: A Review

    Polymers · 2026-02-10

    Andrea I. Bardales-Cortés, J. Formosa, Jessica Giró-Paloma

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  2. Multi-objective optimization of mix design for geopolymer foam concrete with industrial solid wastes based on machine learning

    Journal of Building Engineering · 2026-03-18

    Xiaoting Song, Baichuan Li, Jun Fu, Haojun Zhu, Bojin Wang, Ruijie Li, Qin Zhang, Jiangfei Hou, Yan-Jie Wang

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  3. Advances in biomass-derived shape-stabilized bio-phase change materials for building thermal management and emerging machine learning approaches

    Progress in Materials Science · 2026-05-27

    Ahmad Al Miaari, Dang Mao Nguyen, Yann Rogaume

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  4. Machine Learning-Driven Prediction and Mechanistic Insight into CO 2 Adsorption on Biomass-Derived Activated Carbons Using Explainable AI (XAI)

    ACS Omega · 2026-05-31

    Dalia A. Ali

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  5. Research on Optimizing Strategies for Oil Recovery Rates Based on Artificial Intelligence

    Unknown journal · 2026-06-01

    Yongjun Gou, Mengtao Yang, Feng Zhao, Jiachen Nan, Zheng Chen

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  6. Experimental investigation of biochar-based PCM for enhancing solar still desalination of saline water

    Journal of Thermal Analysis and Calorimetry · 2026-07-01

    R. Shanmugaraja, S. Vivekanandan

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  7. Shape stabilized phase change materials: Preparation techniques, emerging support matrices, artificial intelligence assisted optimization, and energy storage applications

    Journal of Energy Storage · 2026-07-03

    Amit Kumar, Krishan Chopra, V.V. Tyagi, Sakshi Popli, Reji Kumar Rajamony, Anas Islam, A.K. Pandey

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  8. Review: amorphous aluminosilicate reactivity in alkali-activated materials—from composition to structure

    Journal of Materials Science · 2026-07-27

    Paul Oluwaseun Awoyera

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  9. Cement-based phase change material composites for building energy efficiency: a critical review of integration strategies, performance trade-offs, and pathways to practical application

    Energy and Buildings · 2026-09-21

    Pengyang Cai, Guochen Sang

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