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Conventional molecular-dynamics (cMD) simulation has a well-known limitation in accessible time and length scales, and thus various enhanced sampling techniques have been proposed to alleviate the problem. In this paper we explore the…

Chemical Physics · Physics 2018-01-17 Hadi H. Arefi , Takeshi Yamamoto

Cellulose is one of the most versatile substances in the world. Its immense variety of applications was in recent years complemented by interesting nanotechnological applications. The fabrication of complex cellulose-based materials asks…

Materials Science · Physics 2013-07-23 Reinhard J. Maurer , Alexander F. Sax , Volker Ribitsch

Self-assembly materials are traditionally designed so that molecular or meso-scale components form a single kind of large structure. Here, we propose a scheme to create "multifarious assembly mixtures", which self-assemble many different…

Disordered Systems and Neural Networks · Physics 2015-06-22 Arvind Murugan , Zorana Zeravcic , Michael P. Brenner , Stanislas Leibler

We present modeling approaches to explain mechanisms of control of uniformity (narrow distribution) of sizes and shapes in synthesis of nanosize crystals and micron-size colloids. We consider those situations when the nanocrystals are…

Soft Condensed Matter · Physics 2010-11-29 Vyacheslav Gorshkov , Vladimir Privman

We systematically explore the self-assembly of semi-flexible polymers in deformable spherical confinement across a wide regime of chain stiffness, contour lengths and packing fractions by means of coarse-grained molecular dynamics…

Soft Condensed Matter · Physics 2021-07-12 Maxime M. C. Tortora , Daniel Jost

Compression molding of Sheet Molding Compounds (SMC) is a manufacturing process in which a stack of discontinuous fiber-reinforced thermoset sheets is formed in a hot mold. The reorientation of fibers during this molding process can be…

Computational Engineering, Finance, and Science · Computer Science 2022-11-15 Nils Meyer , Sergej Ilinzeer , Andrew N. Hrymak , Frank Henning , Luise Kärger

Nanoparticles introduced in living cells are capable of strongly promoting the aggregation of peptides and proteins. We use here molecular dynamics simulations to characterise in detail the process by which nanoparticle surfaces catalyse…

Biomolecules · Quantitative Biology 2010-06-08 Stefan Auer , Antonio Trovato , Michele Vendruscolo

With recent developments in nanotechnology, self-assembled structures are providing convenient, cheaper and more precise ways of manufacturing various patterns and shapes with less complexity. Of these self-assembled structures, rolled-up…

Applied Physics · Physics 2018-01-15 Nihit Vyas , Ratna Kumar Annabattula

We present a machine-learning model for generating super-resolution $N$-body simulations with non-vanishing spatial curvature, conditioned on a given low-resolution field, $\Omega_k$, $\Omega_\mathrm{m}$, $\sigma_8$, $h$, and redshift. By…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-12 Dennis Fremstad , Julian Adamek , David F. Mota

The Self-Assembly of Nano-Objects (SANO) code we implemented demonstrates the ability to predict the molecular self-assembly of different structural motifs by tuning the molecular building blocks as well as the metallic substrate. It…

Computational Physics · Physics 2012-11-26 Thomas Roussel , Lourdes F. Vega

This paper introduces a new approach for simulating magnetic properties of nanocomposites comprising magnetic particles embedded in a non-magnetic matrix, taking into account the 3D structure of the system in which particles' positions…

Mesoscale and Nanoscale Physics · Physics 2014-10-22 R. F. Neumann , M. Bahiana , L. G. Paterno , M. A. G. Soler , J. P. Sinnecker , J. G. Wen , P. C. Morais

Reverse engineering can be used to derive a 3D model of an existing physical part when such a model is not readily available. For parts that will be fabricated with subtractive and formative manufacturing processes, existing reverse…

Computational Engineering, Finance, and Science · Computer Science 2026-03-24 Jannatul Bushra , Md Habibor Rahman , Mohammed Shafae , Hannah D. Budinoff

Fabrication of highly ordered and dense nanofibers assemblies is of key importance in designing high-performance and multi-functional materials. In this work, we design an experimental approach in silico, combining shear flow and solvent…

Materials Science · Physics 2016-06-17 Enlai Gao , Chuanhua Duan , Zhiping Xu

Random sequential adsorption algorithm is a popular tool for modelling structure of monolayers built in irreversible adsorption experiments. However, this algorithm becomes very inefficient when the density of molecules in a layer rises.…

Computational Physics · Physics 2019-11-25 Michał Cieśla

The regular polyhedra have the highest order of 3D symmetries and are exceptionally at- tractive templates for (self)-assembly using minimal types of building blocks, from nano-cages and virus capsids to large scale constructions like glass…

Computational Geometry · Computer Science 2015-07-31 Muhibur Rasheed , Chandrajit Bajaj

We review recent experiments on dewetting thin films of evaporating colloidal nanoparticle suspensions (nanofluids) and discuss several theoretical approaches to describe the ongoing processes including coupled transport and phase changes.…

Ordering nanoparticles into a desired super-structure is often crucial for their technological applications. We use molecular dynamics simulations to study the assembly of nanoparticles in a polymer brush randomly grafted to a planar…

Soft Condensed Matter · Physics 2017-12-11 Shengfeng Cheng , Mark J. Stevens , Gary S. Grest

Self-organized complex structures in nature, e.g. viral capsids, hierarchical biopolymers, and bacterial flagella, offer efficiency, adaptability, robustness, and multi-functionality. Can we program the self-assembly of three-dimensional…

Soft Condensed Matter · Physics 2022-01-11 Francesco Serafin , Jun Lu , Nicholas Kotov , Kai Sun , Xiaoming Mao

Transforming planar mesoscale devices into precise 3-D architectures is vital for next-generation flexible electronics, implants, and adaptive optics, yet wafer-based manufacturing to free-standing 3-D structures remain elusive. We…

Applied Physics · Physics 2025-05-27 Yue Wang , Kelvin Shum , Yuyang Song , Tian Chen

Rendering is the process of generating 2D images from 3D assets, simulated in a virtual environment, typically with a graphics pipeline. By inverting such renderer, one can think of a learning approach to predict a 3D shape from an input…

Computer Vision and Pattern Recognition · Computer Science 2019-01-24 Shichen Liu , Weikai Chen , Tianye Li , Hao Li
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