[口头报告]Machine Learning Assisted Computational Modelling on Mechanical Properties of Bioinspired Materials and Their Applications

Machine Learning Assisted Computational Modelling on Mechanical Properties of Bioinspired Materials and Their Applications
编号:249 稿件编号:278 访问权限:仅限参会人 更新:2024-04-30 10:38:23 浏览:477次 口头报告

报告开始:暂无开始时间 (Asia/Shanghai)

报告时间:暂无持续时间

所在会议:[暂无会议] » [暂无会议段]

暂无文件

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.
 
关键字
multiscale,molecular simulation,biomaterials
报告人
程渊
Monash University

稿件作者
程渊 Monash University
YinChangji Monash University
发表评论
验证码 看不清楚,更换一张
全部评论
提交摘要
注册参会
酒店预订