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We discuss the role coarse-grained models play in the investigation of the structure and thermodynamics of bilayer membranes, and we place them in the context of alternative approaches. Because they reduce the degrees of freedom and employ…

软凝聚态物质 · 物理学 2009-11-11 Marcus Mueller , Kirill Katsov , Michael Schick

Folding and aggregation of proteins, the interaction between proteins and membranes, as well as the adsorption of organic soft matter to inorganic solid substrates belong to the most interesting challenges in understanding structure and…

软凝聚态物质 · 物理学 2007-12-06 Michael Bachmann , Wolfhard Janke

Bio-inspired composites are a great promise for mimicking the extraordinary and highly efficient properties of natural materials. Recent developments in voxel-by-voxel 3D printing have enabled extreme levels of control over the material…

We explore a systematic approach to studying the dynamics of evolving networks at a coarse-grained, system level. We emphasize the importance of finding good observables (network properties) in terms of which coarse grained models can be…

We present a coarse-grained model for linear polymers with a tunable number of effective atoms (blobs) per chain interacting by intra- and inter-molecular potentials obtained at zero density. We show how this model is able to accurately…

软凝聚态物质 · 物理学 2012-07-17 Giuseppe D'Adamo , Andrea Pelissetto , Carlo Pierleoni

Magnetic moments near zigzag edges in graphene allow complex nanostructures with customised spin properties to be realised. However, computational costs restrict theoretical investigations to small or perfectly periodic structures. Here we…

介观与纳米尺度物理 · 物理学 2022-09-14 Meriç E. Kucukbas , Seán McCann , Stephen R. Power

Soft nanocomposites represent both a theoretical and an experimental challenge due to the high number of the microscopic constituents that strongly influence the behaviour of the systems. An effective theoretical description of such systems…

软凝聚态物质 · 物理学 2016-12-14 Emanuele Locatelli , Barbara Capone , Christos N. Likos

Statistical (machine learning) tools for equation discovery require large amounts of data that are typically computer generated rather than experimentally observed. Multiscale modeling and stochastic simulations are two areas where learning…

机器学习 · 统计学 2021-03-17 Joseph Bakarji , Daniel M. Tartakovsky

In many far-from-equilibrium biological systems, energy injected by irreversible processes at microscopic scales propagates to larger scales to fulfill important biological functions. But given dissipative dynamics at the microscale, how…

统计力学 · 物理学 2025-06-03 Qiwei Yu , Matthew P. Leighton , Christopher W. Lynn

The unfolding of molecular complexes or biomolecules under the influence of external mechanical forces can routinely be simulated with atomistic resolution. To obtain a match of the characteristic time scales with those of experimental…

软凝聚态物质 · 物理学 2024-07-17 Marco Oestereich , Jürgen Gauss , Gregor Diezemann

One key factor that limits the predictive power of molecular dynamics simulations is the accuracy and transferability of the input force field. Force fields are challenged by heterogeneous environments, where electronic responses give rise…

化学物理 · 物理学 2016-09-13 Flaviu S. Cipcigan , Vlad P. Sokhan , Jason Crain , Glenn J. Martyna

Simulating interactions between non-spherical colloidal particles is computationally challenging due to the complex dependency of forces and energies on their geometry. We introduce and evaluate both descriptor-based and end-to-end models…

软凝聚态物质 · 物理学 2025-09-22 B. Rusen Argun , Antonia Statt

Recent advances in machine-learning interatomic potentials have enabled the efficient modeling of complex atomistic systems with an accuracy that is comparable to that of conventional quantum mechanics based methods. At the same time, the…

A mesoscopic coarse-grain model for computationally-efficient simulations of biomembranes is presented. It combines molecular dynamics simulations for the lipids, modeled as elastic chains of beads, with multiparticle collision dynamics for…

软凝聚态物质 · 物理学 2015-06-04 Mu-Jie Huang , Raymond Kapral , Alexander S. Mikhailov , Hsuan-Yi Chen

The paper constructs a coarse-grained model to investigate dry sliding friction of the body-centered-cubic Fe micron-scale system by smoothed particle hydrodynamics simulations and examines influences of the spring force on the characters…

软凝聚态物质 · 物理学 2018-12-31 Le Van Sang , Akihiko Yano , Shuji Fujii , Natsuko Sugimura , Hitoshi Washizu

In this paper we focus on the development of new methods suitable for efficient and reliable coarse-graining of {\it non-equilibrium} molecular systems. In this context, we propose error estimation and controlled-fidelity model reduction…

计算物理 · 物理学 2015-06-15 Markos A. Katsoulakis , Petr Plechac

The distances over which biological molecules and their complexes can function range from a few nanometres, in the case of folded structures, to millimetres, for example during chromosome organization. Describing phenomena that cover such…

软凝聚态物质 · 物理学 2011-09-28 Changbong Hyeon , D. Thirumalai

Rare earth (RE)-free permanent magnets, as alternative substitutes for RE-containing magnets for sustainable energy technologies and modern electronics, have attracted considerable interest. We performed a comprehensive search for new hard…

材料科学 · 物理学 2025-07-01 Weiyi Xia , Maxim Moraru , Ying Wai Li , Timothy Liao , James R. Chelikowsky , Cai-Zhuang Wang

This work presents a systematic methodology for describing the transient dynamics of coarse-grained molecular systems inferred from all-atom simulated data. We suggest Langevin-type dynamics where the coarse-grained interaction potential…

数值分析 · 数学 2023-09-22 G. Baxevani , V. Harmandaris , E. Kalligiannaki , I. Tsantili

Structure-based coarse graining of molecular systems offers a systematic route to reproduce the many-body potential of mean force. Unfortunately, common strategies are inherently limited by the molecular mechanics force field employed.…

软凝聚态物质 · 物理学 2018-12-27 Tristan Bereau , Joseph F. Rudzinski