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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…

化学物理 · 物理学 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…

材料科学 · 物理学 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…

无序系统与神经网络 · 物理学 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…

软凝聚态物质 · 物理学 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…

软凝聚态物质 · 物理学 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…

计算工程、金融与科学 · 计算机科学 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…

生物大分子 · 定量生物学 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…

应用物理 · 物理学 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…

宇宙学与河外天体物理 · 物理学 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…

计算物理 · 物理学 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…

介观与纳米尺度物理 · 物理学 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…

计算工程、金融与科学 · 计算机科学 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…

材料科学 · 物理学 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.…

计算物理 · 物理学 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…

计算几何 · 计算机科学 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…

软凝聚态物质 · 物理学 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…

软凝聚态物质 · 物理学 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…

应用物理 · 物理学 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…

计算机视觉与模式识别 · 计算机科学 2019-01-24 Shichen Liu , Weikai Chen , Tianye Li , Hao Li
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