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RESEARCH PAPER · Computational Condensed Matter · 2021

Recent machine learning guided material research - A review

Mohammad Asaduzzaman Chowdhury, Nayem Hossain, Md. Bengir Ahmed Shuvho, Mohamad Fotouhi, Md Sakibul Islam, Md. Ramjan Ali, Mohammod Abul Kashem

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Recent machine learning guided material research - A reviewOriginalArtificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives241Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods5Computation of flow rates in rarefied gas flow through circular tubes via machine learning techniques7Graphene reinforced 3D printed polymer nanocomposites for diverse applications20Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel42Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients2State-of-the-art review on various applications of machine learning techniques in materials science and engineering26Artificial Neural Network Modeling of Mechanical Properties of 3D-Printed Polyamide 12 and Its Fiber-Reinforced Composites30Machine Learning for Predicting Tensile Properties of Fiber-Reinforced Metal Matrix Composites3Green algorithms: artificial intelligence and machine learning synergy for biochar-based effluent remediation0AI-Driven prediction system for Thermoelectric Properties: Unveiling Novel Materials for Sustainable Energy Solution in Nigeria0Fracture prediction of 5052 aluminum alloy sheet forming using machine learning-calibrated DF-2013 uncoupled ductile fracture criterion0

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  1. Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives

    Archives of Computational Methods in Engineering · 2023-04-19

    Dimitrios Angelis, Filippos D. Sofos, Theodoros E. Karakasidis

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  2. Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods

    Micromachines · 2023-07-19

    Dimitrios Angelis, Filippos D. Sofos, Konstantinos Papastamatiou, Theodoros E. Karakasidis

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  3. Computation of flow rates in rarefied gas flow through circular tubes via machine learning techniques

    Microfluidics and Nanofluidics · 2023-10-27

    Filippos D. Sofos, Chris D. Dritselis, Serafeim Misdanitis, Theodoros E. Karakasidis, Dimitris Valougeorgis

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  4. Graphene reinforced 3D printed polymer nanocomposites for diverse applications

    Results in Chemistry · 2023-11-04

    Ahsanul kabir, Mohammad Asaduzzaman Chowdhury, Nayem Hossain, Mohammad Aminul Islam, Hasanuzzaman Aoyon, Md. Masud Rana

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  5. Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel

    Regenerative Biomaterials · 2024-01-01

    Shaohua Xu, Xun Chen, Si Wang, Zhiwei Chen, Penghui Pan, Qiaoling Huang

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  6. Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients

    Health and Technology · 2024-05-24

    Filippos D. Sofos, Erasmia C. Rouka, Vasiliki Triantafyllia, Evangelos Andreakos, Konstantinos I. Gourgoulianis, Efstathios Karakasidis, Theodoros E. Karakasidis

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  7. State-of-the-art review on various applications of machine learning techniques in materials science and engineering

    Chemical Engineering Science · 2024-12-24

    Bing Yu, LiQin Zhang, Xiaoxia Ye, JunQi Wu, JunQi Wu, HuaYong Ying, Wei Zhu, Xiaoming Wu, Xiaoming Wu

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  8. Artificial Neural Network Modeling of Mechanical Properties of 3D-Printed Polyamide 12 and Its Fiber-Reinforced Composites

    Polymers · 2025-03-03

    Cătălin Fetecău, Felicia Stan, Doina Boazu

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  9. Machine Learning for Predicting Tensile Properties of Fiber-Reinforced Metal Matrix Composites

    Unknown journal · 2025-03-07

    Guorong Gan, Qiqing Liu, Guoyang Leng, Zhengcui Wang, Daohui Lai

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  10. Green algorithms: artificial intelligence and machine learning synergy for biochar-based effluent remediation

    Elsevier eBooks · 2026-01-01

    Poulomi Ghosh, Saprativ P. Das

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  11. AI-Driven prediction system for Thermoelectric Properties: Unveiling Novel Materials for Sustainable Energy Solution in Nigeria

    Nigerian Journal of Physics · 2026-06-19

    Akinola Samson Olayinka

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  12. Fracture prediction of 5052 aluminum alloy sheet forming using machine learning-calibrated DF-2013 uncoupled ductile fracture criterion

    The Journal of Strain Analysis for Engineering Design · 2026-08-15

    Linjie Yin, Mingyan Liu, Xiaolong Gu, Xiang Hu, Yutao Li, Peng Lin, Fengmei Xue

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