Genetic Programming Bibliography entries for Sritawat Kitipornchai

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GP coauthors/coeditors: Liangteng Guo, Shaoyu Zhao, Yongqiang Guo, Jie Yang, Yingyan Zhang, Yihe Zhang, Wei Zhang2, Helong Wu, Wei Zhang,

Genetic Programming Articles by Sritawat Kitipornchai

  1. Liangteng Guo and Shaoyu Zhao and Jie Yang and Sritawat Kitipornchai. Graphene-based phononic crystal lenses: Machine learning-assisted analysis and design. Ultrasonics, 138:107220, 2024. details

  2. Liangteng Guo and Shaoyu Zhao and Yongqiang Guo and Jie Yang and Sritawat Kitipornchai. Bandgaps in functionally graded phononic crystals containing graphene origami-enabled metamaterials. International Journal of Mechanical Sciences, 240:107956, 2023. details

  3. Shaoyu Zhao and Yingyan Zhang and Yihe Zhang and Wei Zhang2 and Jie Yang and Sritawat Kitipornchai. Genetic programming-assisted micromechanical models of graphene origami-enabled metal metamaterials. Acta Materialia, 228:117791, 2022. details

  4. Shaoyu Zhao and Yingyan Zhang and Yihe Zhang and Jie Yang and Sritawat Kitipornchai. A functionally graded auxetic metamaterial beam with tunable nonlinear free vibration characteristics via graphene origami. Thin-Walled Structures, 181:109997, 2022. details

  5. Shaoyu Zhao and Yingyan Zhang and Yihe Zhang and Wei Zhang and Jie Yang and Sritawat Kitipornchai. Buckling of functionally graded hydrogen-functionalized graphene reinforced beams based on machine learning-assisted micromechanics models. European Journal of Mechanics - A/Solids, 96:104675, 2022. details

  6. Shaoyu Zhao and Yingyan Zhang and Helong Wu and Yihe Zhang and Jie Yang and Sritawat Kitipornchai. Tunable nonlinear bending behaviors of functionally graded graphene origami enabled auxetic metamaterial beams. Composite Structures, 301:116222, 2022. details

  7. Shaoyu Zhao and Yingyan Zhang and Yihe Zhang and Jie Yang and Sritawat Kitipornchai. Vibrational characteristics of functionally graded graphene origami-enabled auxetic metamaterial beams based on machine learning assisted models. Aerospace Science and Technology, 130:107906, 2022. details