TY - JOUR
T1 - Structure−Mechanics Relation of Natural Rubber
T2 - Insights from Molecular Dynamics Simulations
AU - Chen, Qionghai
AU - Zhang, Zhiyu
AU - Huang, Yongdi
AU - Zhao, Hengheng
AU - Chen, Zhudan
AU - Gao, Ke
AU - Yue, Tongkui
AU - Zhang, Liqun
AU - Liu, Jun
N1 - Publisher Copyright:
© 2022 American Chemical Society.
PY - 2022/5/13
Y1 - 2022/5/13
N2 - Attributed to its strain-induced crystallization (SIC), natural rubber (NR) exhibits more excellent mechanical properties compared to other elastomeric materials and has been attracting numerous scientific and technological attention. However, a systematical understanding of the structure−mechanics relation of NR is still lacking. Herein, for the first time, we employ molecular dynamics simulation to examine the effects of the key structural factors on the SIC and mechanical properties at the molecular level. We examine the effects of phospholipid and protein mass fraction (ω), the strength of hydrogen-bond interaction (εH), and the strength of non-hydrogen-bond interaction (εNH) on structural morphology, dynamic behavior, and mechanical properties. NR tends to form local clusters due to the hydrogen-bond interaction formed between phospholipids or proteins and chain ends, which is absent in the case of cis-1,4-polyisoprene (PIP). The polymer chain mobility of NR is retarded due to the formed clusters or even physical network at great εH and high ω. Interestingly, we find that the stress−strain behavior of NR is greatly manipulated by εH and ω, as evidenced by the increase of the chain orientation and the SIC, compared with the cases of PIP. This underlying mechanism results from the alignment of the molecular chains induced by the formed clusters along the deformed direction, and the clusters during the deformation become more stable, particularly at great εH. Lastly, we adopt a machine learning algorithm named extreme gradient boosting via data augmentation, finding that εH has the most significant influencing weight factor on the stress−strain behavior of NR. In general, this work demonstrates a detailed molecular-level structure−mechanics relation of NR and provides some rational guidelines for experimentally designing and synthesizing biomimetic NR.
AB - Attributed to its strain-induced crystallization (SIC), natural rubber (NR) exhibits more excellent mechanical properties compared to other elastomeric materials and has been attracting numerous scientific and technological attention. However, a systematical understanding of the structure−mechanics relation of NR is still lacking. Herein, for the first time, we employ molecular dynamics simulation to examine the effects of the key structural factors on the SIC and mechanical properties at the molecular level. We examine the effects of phospholipid and protein mass fraction (ω), the strength of hydrogen-bond interaction (εH), and the strength of non-hydrogen-bond interaction (εNH) on structural morphology, dynamic behavior, and mechanical properties. NR tends to form local clusters due to the hydrogen-bond interaction formed between phospholipids or proteins and chain ends, which is absent in the case of cis-1,4-polyisoprene (PIP). The polymer chain mobility of NR is retarded due to the formed clusters or even physical network at great εH and high ω. Interestingly, we find that the stress−strain behavior of NR is greatly manipulated by εH and ω, as evidenced by the increase of the chain orientation and the SIC, compared with the cases of PIP. This underlying mechanism results from the alignment of the molecular chains induced by the formed clusters along the deformed direction, and the clusters during the deformation become more stable, particularly at great εH. Lastly, we adopt a machine learning algorithm named extreme gradient boosting via data augmentation, finding that εH has the most significant influencing weight factor on the stress−strain behavior of NR. In general, this work demonstrates a detailed molecular-level structure−mechanics relation of NR and provides some rational guidelines for experimentally designing and synthesizing biomimetic NR.
KW - extreme gradient boosting
KW - machine learning
KW - molecular dynamics simulation
KW - natural rubber
KW - strain-induced crystallization
KW - stress−strain behavior
UR - https://www.scopus.com/pages/publications/85128584986
U2 - 10.1021/acsapm.2c00147
DO - 10.1021/acsapm.2c00147
M3 - 文章
AN - SCOPUS:85128584986
SN - 2637-6105
VL - 4
SP - 3575
EP - 3586
JO - ACS Applied Polymer Materials
JF - ACS Applied Polymer Materials
IS - 5
ER -