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Related papers: Martini 3 application for the design of bistable n…

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The intensive development of nanodevices acting as two-state systems has motivated the search for nanoscale molecular structures whose dynamics are similar to those of bistable mechanical systems, such as Euler arches and Duffing…

The Martini model, a coarse-grained force field initially developed with biomolecular simulations in mind, has found an increasing number of applications in the field of soft materials science. The model's underlying building block…

Materials Science · Physics 2020-12-15 Riccardo Alessandri , Fabian Grünewald , Siewert J. Marrink

An increasing interest in molecular structures whose long term dynamics resemble those of bistable mechanical systems promotes the search of possible candidates that may operate as two-state switching units. Of particular interest are the…

Soft Condensed Matter · Physics 2024-12-18 Alexander D. Muratov , Vladik A. Avetisov

A nanoscale-sized Stirling engine with an atomistic working fluid has been modeled using molecular dynamics simulation. The design includes heat exchangers based on thermostats, pistons attached to a flywheel under load, and a regenerator.…

Computational Physics · Physics 2009-05-03 D. C. Rapaport

The computational study of the interaction between charged, ligand-protected metal nanoparticles and model lipid membranes has been recently addressed both at atomistic and coarse grained level. Here we compare the performance of three…

Biological Physics · Physics 2017-03-02 Sebastian Salassi , Federica Simonelli , Davide Bochicchio , Riccardo Ferrando , Giulia Rossi

The folding of RNA and DNA strands plays crucial roles in biological systems and bionanotechnology. However, studying these processes with high-resolution numerical models is beyond current computational capabilities due to the timescales…

Soft Condensed Matter · Physics 2024-02-07 F. Tosti Guerra , E. Poppleton , P. Šulc , L. Rovigatti

Molecular robotics is challenging, so it seems best to keep it simple. We consider an abstract molecular robotics model based on simple folding instructions that execute asynchronously. Turning Machines are a simple 1D to 2D folding model,…

Robotics · Computer Science 2022-01-26 Irina Kostitsyna , Cai Wood , Damien Woods

Coarse-graining (CG) reduces molecular details to extend the time and length scales of molecular dynamics simulations to microseconds and micrometers. However, the CG approaches have long been limited by the difficulty of constructing both…

Chemical Physics · Physics 2026-05-06 Kevin V. Bigting , Shubhadeep Nag , Yaxin An

A fundamental design rule that nature has developed for biological machines is the intimate correlation between motion and function. One class of biological machines is molecular motors in living cells, which directly convert chemical…

Biological Physics · Physics 2021-05-11 Na Liu

Three-dimensional shell-like structures can be obtained spontaneously at the microscale from the self-folding of 2D templates of rigid panels. At least for simple structures, the motion of each panel is consistent with a Brownian process…

Soft Condensed Matter · Physics 2021-02-18 T. S. A. N. Simões , H. P. M. Melo , N. A. M. Araújo

The Martini 3 force field is a full re-parametrization of the Martini coarse-grained model for biomolecular simulations. Due to the improved interaction balance it allows for more accurate description of condensed phase systems. In the…

We use molecular dynamics simulations to investigate the displacement of a simple butterfly-like molecular motor inside nanopores of various radii filled with a viscous medium. The medium is modeled with a versatile potential that may be…

Soft Condensed Matter · Physics 2021-12-07 Gaetan Delhaye , Felix Mercier , Victor Teboul

Exploiting elastic instability in thin films has proven a robust method for creating complex patterns and structures across a wide range of lengthscales. Even the simplest of systems, an elastic membrane with a lattice of pores, under…

Soft Condensed Matter · Physics 2012-10-18 Elisabetta A. Matsumoto , Randall D. Kamien

Ribosomes are critical biomolecular nanomachines responsible for protein synthesis in all known organisms. The function and dynamics of ribosomes can be studied using molecular dynamics computer simulations. Although this task remains…

Biological Physics · Physics 2025-03-28 Josef Cikhart , Aneta Leskourová , Michal H. Kolář

In the quest to understand how structure and dynamics are connected in glasses, a number of machine learning based methods have been developed that predict dynamics in supercooled liquids. These methods include both increasingly complex…

Soft Condensed Matter · Physics 2022-06-08 Rinske M. Alkemade , Emanuele Boattini , Laura Filion , Frank Smallenburg

Molecular-scale computation is crucial for smart materials and nanoscale devices, yet creating single-molecule systems capable of complex computations remains challenging. We present a theoretical framework for a single-molecule computer…

Statistical Mechanics · Physics 2024-10-01 Zhongmin Zhang , Zhiyue Lu

In recent years, certain molecular crystals have been reported to possess surprising flexibility by undergoing significant elastic or plastic deformation in response to mechanical loads. However, despite this experimental evidence, there…

Materials Science · Physics 2025-06-06 Pedro A. Santos-Florez , Shinnosuke Hattori , Qiang Zhu

Molecular machines consist of either a single protein or a macromolecular complex composed of protein and RNA molecules. Just like their macroscopic counterparts, each of these nano-machines has an engine that "transduces" input energy into…

Biological Physics · Physics 2012-03-15 Debashish Chowdhury

Despite their wide use and far-reaching implications, molecular dynamics (MD) simulations suffer from a lack of both traceability and reproducibility. We introduce Martignac: computational workflows for the coarse-grained (CG) Martini force…

Chemical Physics · Physics 2024-09-25 Tristan Bereau , Luis J. Walter , Joseph F. Rudzinski

The development of efficient and robust dynamic models is fundamental in the field of systems and control engineering. In this paper, a new formulation for the dynamic model of nonlinear mechanical systems, that can be applied to different…

Systems and Control · Electrical Eng. & Systems 2026-02-09 Davide Tebaldi , Roberto Zanasi
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