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In this article we discuss in detail the effective approaches to enhance the thermal conductivity in polymer composites. It is shown from numerical simulations that maximizing interfacial area between filler and polymer enhances very…

Applied Physics · Physics 2020-06-02 Vijendra Kumar , Abhishek Barnwal , R. K. Shukla , Jyoti Shakya

The viscoelastic properties of thin polymeric films represent a central issue, especially for nanotechnological applications. In particular, it is highly relevant the dependence of viscoelasticity on the temperature. For polystyrene it is…

Currently, identification of crystallization pathways in polymers is being carried out using molecular simulation-based data on a preset cut-off point on a single order parameter (OP) to define nucleated or crystallized regions. Aside from…

Computational Physics · Physics 2025-07-25 Elyar Tourani , Brian J. Edwards , Bamin Khomami

Polymer informatics tools have been recently gaining ground to efficiently and effectively develop, design, and discover new polymers that meet specific application needs. So far, however, these data-driven efforts have largely focused on…

Materials Science · Physics 2021-07-05 Christopher Künneth , William Schertzer , Rampi Ramprasad

Changes in the dynamics of supported polymer films in comparison to bulk materials involve a complex convolution of effects, such as substrate interactions, roughness and compliance, in addition to film thickness. We consider molecular…

Soft Condensed Matter · Physics 2015-02-11 Paul Z. Hanakata , Beatriz A. Pazmiño Betancourt , Jack F. Douglas , Francis W. Starr

We report on the development of some process capabilities for a polymer-based, multi-layer microelectrofluidic platform, namely: the hot embossing process, metallization on polymer and polymer bonding. Hot embossing experiments were…

Other Computer Science · Computer Science 2007-11-29 S. -H. Ng , Z. -F. Wang , R. -T. Tjeung , N. De Rooij

Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single MLIP used as a stability filter misses 93% of density functional theory…

Materials Science · Physics 2026-03-16 Abhinaba Basu , Pavan Chakraborty

Soft matter materials and polymers are widely used in the controlled delivery of drugs. Simulation and modeling provide insight at the atomic scale enabling a level of control unavailable to experiments. We present a workflow protocol for…

Soft Condensed Matter · Physics 2022-03-08 James P. Andrews , Estela Blaisten-Barojas

The success of the Materials Genome Initiative has led to opportunities for data-driven approaches for materials discovery. The recent development of Polymer Genome (PG), which is a machine learning (ML) based data-driven informatics…

Computational Physics · Physics 2019-08-08 Manav Ramprasad , Chiho Kim

Fully bioresorbable polymer matrix composites have long been considered as potential orthopaedic implant materials, however their combination of mechanical strength, stiffness, ductility and bioresorbability is also attractive for cardiac…

Soft Condensed Matter · Physics 2021-12-15 Reece N. Oosterbeek , Xiang C. Zhang , Serena M. Best , Ruth E. Cameron

Polymer packaging plays a crucial role in food preservation but poses major challenges in recycling and environmental persistence. To address the need for sustainable, high-performance alternatives, we employed a polymer informatics…

We present computer simulations of a simple bead-spring model for polymer melts with intramolecular barriers. By systematically tuning the strength of the barriers, we investigate their role on the glass transition. Dynamic observables are…

Soft Condensed Matter · Physics 2015-05-14 Marco Bernabei , Angel J. Moreno , Juan Colmenero

Systems composed of soft matter (e.g., liquids, polymers, foams, gels, colloids, and most biological materials) are ubiquitous in science and engineering, but molecular simulations of such systems pose particular computational challenges,…

Machine learning offers promising tools to develop surrogate models for polymer structure-property relations. Surrogate models can be built upon existing polymer data and are useful for rapidly predicting the properties of unknown polymers.…

Soft Condensed Matter · Physics 2023-08-22 Agrim Babbar , Sriram Ragunathan , Debirupa Mitra , Arnab Dutta , Tarak. K Patra

In many industrial processes, pieces of the same polymer material are brought into contact at a temperature above the glass transition. Interdiffusion then takes place across the interface and leads to a strengthening of the junction.…

Soft Condensed Matter · Physics 2009-10-31 A. Aradian , E. Raphael , P. -G. de Gennes

Decades of hardware, methodological, and algorithmic development have propelled molecular dynamics (MD) simulations to the forefront of materials-modeling techniques, bridging the gap between electronic-structure theory and continuum…

Soft Condensed Matter · Physics 2020-11-11 Tristan Bereau

Surface tension-driven flow techniques have recently emerged as an efficient means of shedding light into the rheology of thin polymer films. Motivated by experimental and theoretical approaches in films bearing a varying surface…

Soft Condensed Matter · Physics 2017-04-26 Ioannis Tanis , Hendrik Meyer , Thomas Salez , Elie Raphaël , Anthony C. Maggs , Jörg Baschnagel

We report molecular dynamics simulation results on the equilibrium properties of polymer thin films adsorbed onto flat and curved substrates. We first systematically determine the contact angle of polymer droplets on flat substrates as a…

Soft Condensed Matter · Physics 2023-12-15 Gabriel Catalini , Nicolás A. García , Daniel A. Vega , Arash Nikoubashman

Obtaining a rigorous and reliable method for linking computer simulations of polymer blends and composites at different length scales of interest is a highly desirable goal in soft matter physics. In this paper a multiscale modeling…

Soft Condensed Matter · Physics 2015-05-19 J. McCarty , M. G. Guenza

The development of porous polymeric membranes remains a labor-intensive process, often requiring extensive trial and error to identify optimal fabrication parameters. In this study, we present a fully automated platform for membrane…