Machine Learning Assisted Computational Modelling on Mechanical Properties of Bioinspired Materials and Their Applications
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摘要
Among different species of biomaterials, silk fibroin and keratin have attracted great attention due to their superior mechanical properties such as high strength, high stretchability, biocompatibility, as well as their biodegradability.1 They can be transformed into diverse morphologies, for example hydrogels, films, sponges, etc., so as to facilitate their wide applications as surgical sutures, medical textiles, tissue engineering scaffolds, drug carriers, biosensors, etc.2 Recently, great efforts are demanded in order to understand and further enhance the mechanical properties of silk fibroin and keratin based materials on molecular level. In this study, we have carried out machine learning assisted largescale molecular dynamics simulations on different domains of silk and keratin protein. It was found that the mechanical properties of biomaterials could be tuned via tuning their structural properties, environmental conditions or hybrid with nanomaterials3,4. Targeted mechanical properties of bioinspired materials or their composites could be achieved by tuning the structural characteristics of these materials and environmental conditions such as humidity, temperature, ions concentration, etc.3 Furthermore, the potential nanotoxicity of nanomaterials on human are also investigated for extending the applications of these biomaterials hybrid with nanomaterials on human body. These results provide in-depth understandings in molecular structure-mechanical property correlation in protein-nanomaterial interface, and will be providing a guideline to future design of bio-inspired materials for different applications including energy storage5, wearable devices2, etc.


References

[1] Koh, L. D.; Cheng, Y.; Teng, C. P.; Khin, Y. W.; Loh, X. J.; Tee, S. Y.; Low, M.; Ye, E.; Yu, H., D.; Zhang, Y. W.; Han, M. Y. Structures, Mechanical Properties and Applications of Silk Fibroin Materials, Prog. Polym. Sci. 2015, 46, 86–110.
[2] Chen, G., Matsuhisa, N., Liu, Z., Qi, D., Cai, P., Jiang, Y., Wan, C., Cui, Y., Leow, W.R., Liu, Z., Gong, S., Zhang, K.-Q., Cheng, Y.*, Chen, X.*: Plasticizing Silk Protein for On-Skin Stretchable Electrodes. Adv. Mater. 2018, 1800129.
[3]Yin, C., Feng, L., Zhang, N., & Cheng, Y. How environmental factors affect the structural properties and biofunctions of keratin: A molecular dynamics study. Materials Today Communications. 2023, 34, 105254.
[4] Yin, C., Yu, L., Feng, L., Zhou, J. T., Du, C., Shao, X., & Cheng, Y. Nanotoxicity of two-dimensional nanomaterials on human skin and the structural evolution of keratin protein. Nanotechnology. 2024, 35, 22.
[5]Sun, J., Sun, Y., Oh, J.A.S., Gu, Q., Zheng, W., Goh, M., Zeng, K., Cheng, Y. and Lu, L. Insight into the structure-capacity relationship in biomass derived carbon for high-performance sodium-ion batteries. Journal of Energy Chemistry. 2021, 62, 497-504.
 
关键词
multiscale,molecular simulation,biomaterials
报告人
程渊
Monash University

稿件作者
程渊 Monash University
YinChangji Monash University
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重要日期
  • 会议日期

    05月31日

    2024

    06月03日

    2024

  • 06月03日 2024

    摘要截稿日期

  • 06月03日 2024

    初稿截稿日期

  • 06月03日 2024

    注册截止日期

主办单位
中国力学学会
计算力学专业委员会
颗粒材料计算力学专业组
承办单位
河海大学
大连理工大学
中国颗粒学会
江苏省力学学会
历届会议
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