while limiting chain scission.For imperfectly-mixed reactors,the blending of polymer-distributions produced in different spatial locations has a small effect on the composite MWD.However,for adiabatic LDPE autoclaves,imperfect mixing broadens the stable range of mean reactor conditions,and thereby ...
Get PDF (822K) Abstract The mechanical properties of a crosslinking isocyanate–hydroxy system were predicted by a combination of the measured curing kinetics and a model for polymer network growth. The kinetic parameters were determined from FTIR using the linear rising temperature method (the activ...
Therefore, this study aims to reveal the rheological performance of high polymer-modified asphalt binder and to develop a prediction model based on the correlation between its rheological properties and chemical composition. Polymer-modified asphalt binders with varying styrene–butadiene–styrene polymer ...
Rigby D, Saxe P, Freeman C, Leblanc B (2014) Computational prediction of mechanical properties of glassy polymer blends and thermosets, in Advanced Composites for Aerospace, Marine and Land Applications, Sano T, Srivatsan TS, Paretti MW (eds.) John Wiley; ISBN 8791118888919...
,“Machine-learning predictions of polymer properties with Polymer Genome,” J. Appl. Phys., vol. 128, no. 17, p. 171104, Nov. 2020, doi: 10.1063/5.0023759. Google Scholar [97] C. Kim, A. Chandrasekaran, T.D. Huan, D. Das, R. Ramprasad Polymer genome: a data-powered polymer ...
Despite the usage of machine learning accelerating the properties prediction of polymer materials, obtaining a large number of samples to achieve accurate and fast predictions remains a challenge because of the complex and lengthy experimental process. In this work, an advanced prediction model for the...
Progress in the discovery of new materials has been accelerated by the development of reliable quantum-mechanical approaches to crystal structure prediction. The properties of a material depend very sensitively on its structure; therefore, structure prediction is the key to computational materials discover...
Symmetry in nature often emerges from self-assembly processes and serves a wide range of functions. Cell surface layers (S-layers) form symmetrical lattices on many bacterial and archaeal cells, playing essential roles such as facilitating cell adhesion,
The prediction of the effective elastic properties of polymer bonded explosives using direct numerical simulations is computationally expensive because of the high volume fraction of particles in these particulate composites ($\\sim$0.90) and the strong modulus contrast between the particles and the ...
The mechanical properties of a crosslinking isocyanate–hydroxy system were predicted by a combination of the measured curing kinetics and a model for polymer network growth. The kinetic parameters were determined from FTIR using the linear rising temperature method (the activation energy = 52 kJ/mol...