Associative thickeners for waterborne paints: Structure, characterization, rheology, and modeling

RG Larson, AK Van Dyk, T Chatterjee… - Progress in Polymer …, 2022 - Elsevier
Architectural coatings/paints play a very important role in our world, making our houses and
workplaces beautiful, comfortable, and energy-efficient. Polymeric components of coating …

Multiscale modeling in smart cities: A survey on applications, current trends, and challenges

A Khan, S Aslam, K Aurangzeb, M Alhussein… - Sustainable cities and …, 2022 - Elsevier
A smart city model views the city as a complex adaptive system consisting of services,
resources, and citizens that learn through interaction and change in both the spatial and …

Understanding and modeling polymers: The challenge of multiple scales

F Schmid - ACS Polymers Au, 2022 - ACS Publications
Polymer materials are multiscale systems by definition. Already the description of a single
macromolecule involves a multitude of scales, and cooperative processes in polymer …

Structure–mechanics relation of natural rubber: insights from molecular dynamics simulations

Q Chen, Z Zhang, Y Huang, H Zhao… - ACS Applied Polymer …, 2022 - ACS Publications
Attributed to its strain-induced crystallization (SIC), natural rubber (NR) exhibits more
excellent mechanical properties compared to other elastomeric materials and has been …

[HTML][HTML] Integration of machine learning and coarse-grained molecular simulations for polymer materials: physical understandings and molecular design

D Nguyen, L Tao, Y Li - Frontiers in Chemistry, 2022 - frontiersin.org
In recent years, the synthesis of monomer sequence-defined polymers has expanded into
broad-spectrum applications in biomedical, chemical, and materials science fields. Pursuing …

Predicting young's modulus of linear polyurethane and polyurethane–polyurea elastomers: bridging length scales with physicochemical modeling and machine …

JA Pugar, C Gang, C Huang, KW Haider… - … Applied Materials & …, 2022 - ACS Publications
Predicting the properties of complex polymeric materials based on monomer chemistry
requires modeling physical interactions that bridge molecular, interchain, microstructure …

[HTML][HTML] A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer

Z Shireen, H Weeratunge, A Menzel… - npj Computational …, 2022 - nature.com
This work presents a framework governing the development of an efficient, accurate, and
transferable coarse-grained (CG) model of a polyether material. The framework combines …

Systematic bottom-up molecular coarse-graining via force and torque matching using anisotropic particles

HTL Nguyen, DM Huang - The Journal of Chemical Physics, 2022 - pubs.aip.org
We derive a systematic and general method for parameterizing coarse-grained molecular
models consisting of anisotropic particles from fine-grained (eg, all-atom) models for …

Molecular modeling of the interface of an egg yolk protein-based emulsion

M Ferrari, JW Handgraaf, G Boccardo, A Buffo… - Physics of …, 2022 - pubs.aip.org
Many food emulsions are stabilized by functional egg yolk biomolecules, which act as
surfactants at the oil/water interface. Detailed experimental studies on egg yolk emulsifying …

Effects of coarse-graining on molecular simulation of craze formation in polymer glass

J Wang, PJ in't Veld, MO Robbins, T Ge - Macromolecules, 2022 - ACS Publications
Crazing precedes the crack propagation in polymer glass and greatly increases the fracture
toughness. We perform molecular dynamics simulations to study craze formation in glassy …