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Related papers: Van der Waals-Driven Network Restructuring Explain…

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We predict new forms of carbon consisting of one and two dimensional networks of interlinked single wall carbon nanotubes, some of which are energetically more stable than van der Waals packing of the nanotubes on a hexagonal lattice. These…

Materials Science · Physics 2009-10-31 T. Yildirim , O. Gulseren , C. Kilic , S. Ciraci

Over low and intermediate strain rates, plasticity in face centered cubic (FCC) metals is governed by the glide of dislocations, which manifest as complex networks that evolve with strain. Considering the elastic anisotropy of FCC metals,…

Materials Science · Physics 2025-01-28 John D. Shimanek , Darshan Bamney , Laurent Capolungo , Zi-Kui Liu , Allison M. Beese

The past few years has brought renewed focus on the physics behind the class of materials characterized by long-range interactions and wide regions of low electron density, sparse matter. There is now much work on developing the appropriate…

Materials Science · Physics 2015-05-19 Elisa Londero , Elsebeth Schroder

Short carbon fiber-reinforced polymer (SCFRP) composites exploit the intrinsic conductivity of the carbon fiber network for self-sensing, yet no predictive model couples their anisotropic, rate-dependent fracture to piezoresistive damage…

Computational Engineering, Finance, and Science · Computer Science 2026-05-26 Behrouz Arash , Shadab Zakavati , Quan Wang , Timon Rabczuk

Polymer network models construct the constitutive relationships of a broader polymer network from the behavior of a single polymer chain (e.g. viscoelastic response to applied forces, applied electromagnetic fields, etc.). Network models…

Soft Condensed Matter · Physics 2024-12-31 Matthew Grasinger

Soft living tissues like cartilage can be considered as biphasic materials comprised of a fibrous complex biopolymer network and a viscous background liquid. Here, we show by a combination of experiment and theoretical analysis that both…

Soft Condensed Matter · Physics 2019-10-02 Melle T. J. J. M. Punter , Bart E. Vos , Bela M. Mulder , Gijsje H. Koenderink

Beyond the study of individual materials, their interfaces and arising functionality are crucial enablers of fundamental science and technological applications. Recently, the arena of two-dimensional (2D) materials was extended to so-called…

Materials Science · Physics 2025-03-18 Anastasiia Nihei , Tom Barnowsky , Rico Friedrich

Carbon nanotube networks are one of the candidate materials to function as malleable, transparent, conducting films, with the technologically promising application of being used as flexible electronic displays. Nanotubes disorderly…

Mesoscale and Nanoscale Physics · Physics 2013-02-22 Luiz F. C. Pereira , M. S. Ferreira

The van der Waals (vdW) density functional (vdW-DF) method [ROPP 78, 066501 (2015)] describes dispersion or vdW binding by tracking the effects of an electrodynamic coupling among pairs of electrons and their associated exchange-correlation…

Strongly Correlated Electrons · Physics 2018-02-21 Yang Jiao , Elsebeth Schröder , Per Hyldgaard

Van der Waals (vdW) superconductors - atomically thin crystalline materials that can be stacked into more complex heterostructures - have opened a promising avenue for superconducting electronics thanks to their properties that are…

Superconductivity · Physics 2026-01-13 Angelo Di Bernardo , Elke Scheer

The toughness of a polymer material can increase significantly if two networks are combined into one material. This toughening effect is a consequence of a transition from a brittle to a ductile failure response. Although this transition…

Soft Condensed Matter · Physics 2020-07-01 Justin Tauber , Simone Dussi , Jasper van der Gucht

In this work, we expand the set of known layered compounds to include ionic layered materials, which are well known for superconducting, thermoelectric, and battery applications. Focusing on known ternary compounds from the ICSD, we screen…

Materials Science · Physics 2018-08-03 Robert McKinney , Prashun Gorai , Sukriti Manna , Eric Toberer , Vladan Stevanović

Complex van der Waals heterostructures from layered molecular stacks are promising optoelectronic materials offering means to efficient, modular charge separation and collection layers. The effect of stacking in the electrodynamics of such…

We use the impact of drops on a small solid target as a tool to investigate the behavior of viscoelastic fluids under extreme deformation rates. We study two classes of transient networks: semidilute solutions of supramolecular polymers and…

Soft Condensed Matter · Physics 2022-05-06 S. Arora , A. Louhichi , D. Vlassopoulos , C. Ligoure , L. Ramos

The mechanical properties of biological materials are spatially heterogeneous. Typical tissues are made up of a spanning fibrous extracellular matrix in which various inclusions, such as living cells, are embedded. While the influence of…

Soft Condensed Matter · Physics 2025-09-04 Jordan L. Shivers , Jingchen Feng , Fred C. MacKintosh

Across scientific disciplines, thresholded pairwise measures of statistical dependence between time series are taken as proxies for the interactions between the dynamical units of a network. Yet such correlation measures often fail to…

Data Analysis, Statistics and Probability · Physics 2018-02-07 Benedict J. Lünsmann , Christoph Kirst , Marc Timme

While the interactions between water molecules are dominated by strongly directional hydrogen bonds (HBs), it was recently proposed that relatively weak, isotropic van der Waals (vdW) forces are essential for understanding the properties of…

Computational Physics · Physics 2016-07-07 Tobias Morawietz , Andreas Singraber , Christoph Dellago , Jörg Behler

The interlayer coupling, which has a strong influence on the properties of van der Waals heterostructures, strongly depends on the interlayer distance. Although considerable theoretical interest has been demonstrated, experiments exploiting…

Reconfigurable metamaterials require constituent nanostructures to demonstrate switching of shapes with external stimuli. For generality, such nanostructures would touch and stick to other surfaces in one of its configurations. Yet, a…

In the present work, a hyperelastic constitutive model based on neural networks is proposed which fulfills all common constitutive conditions by construction, and in particular, is applicable to compressible material behavior. Using…

Computational Engineering, Finance, and Science · Computer Science 2023-07-07 Lennart Linden , Dominik K. Klein , Karl A. Kalina , Jörg Brummund , Oliver Weeger , Markus Kästner