23 papers · ranked by Valyu relevance
Paul E. Schavemaker, Arnold J. Boersma, Bert Poolman
That diffusion is important for the proper functioning of cells is without question. The extent to which the diffusion coefficient is important is explored here for prokaryotic cells. We discuss the principles of diffusion focusing on diffusion-limited reactions, summarize the known values for diffusion coefficients in…
Ziqi Zhou
Based on Fick's 2nd law the development of moving particle semi-implicit method for predicting diffusion process is proposed in this study. The diffusion model described how mass get transported between particles and the density of particles get fitted in real time. By giving the optimal radius for Laplacian operator…
Gabriel Barreiro, Vladimir Pérez-Veloz
Diffusion is a fundamental physical phenomenon with critical applications in fields such as metallurgy, cell biology, and population dynamics. While standard diffusion is well-understood, anomalous diffusion often requires complex non-local models. This paper investigates a nonlinear diffusion equation where the…
Achuthan Raja Venkatesh, Kathy H. Le, David M. Weld, Onn Brandman
While inhomogeneous viscosity has been identified as a ubiquitous feature of the cellular interior, its implications for particle mobility and concentration at different length scales have remained unexplored. In this work, we use agent-based simulations of diffusion to investigate how diverse manifestations of…
Achuthan Raja Venkatesh, Kathy H Le, David M Weld, Onn Brandman + 2 more
'Pierre Sens' 'Aleksandra M Walczak'] While inhomogeneous diffusivity has been identified as a ubiquitous feature of the cellular interior, its implications for particle mobility and concentration at different length scales remain largely unexplored. In this work, we use agent-based simulations of diffusion to…
Licun Sun, Xiaoyun Pu
A visualization and quantification optical method for measuring binary liquid diffusion coefficient (D) based on an asymmetric liquid-core cylindrical lens (ALCL) is introduced in this paper. Four groups of control experiments were performed to verify the influences of diffusing substance category, concentration and…
Svyatoslav Kondrat
| 1 | | Introduction | | | | | | | | | | | | | | | | | | | | 2 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2 | | Macromolecular self-diffusion | | | | | | | | | | | | | | | | | | | | 2 | | | 2.1 | How to characterize…
Kai Trepka
Building models of organismal growth enables predictions of natural variability and responses to perturbations. Complex systems such as animal pattern development and bacterial colonies can be modeled numerically using a reaction-diffusion system with relatively few factors and yield qualitatively accurate results…
Jixin Chen
Predicting the reaction kinetics, that is, how fast a reaction can happen in a solution, is essential information for many processes, such as industrial chemical manufacturing, refining, synthesis and separation of petroleum products, environmental processes in air and water, biological reactions in cells, biosensing…
Alexander Schlaich, Jean‐Louis Barrat, Benoît Coasne
Microscopic to Coarse-Grained Descriptions Authors: ['Alexander Schlaich' 'Jean‐Louis Barrat' 'Benoît Coasne'] This review presents the state of the art on the theory, molecular simulation, and coarse-grained strategies applied to the transport of gases and liquids in nanoporous materials (pore size in the range 1 –…
Luca Mantovanelli, Dmitrii S. Linnik, Michiel Punter, Hildeberto Jardón Kojakhmetov + 2 more
We have developed Simulation-based Reconstructed Diffusion (SbRD) to determine diffusion coefficients corrected for confinement effects and for the bias introduced by two-dimensional models describing a three-dimensional motion. We validate the method on simulated diffusion data in three-dimensional cell-shaped…
Vitalii Zablotskii, Tatyana Polyakova, Alexandr Dejneka
The diffusion of biologically active molecules is a ubiquitous process, controlling many mechanisms and the characteristic time scales for pivotal processes in living cells. Here, we show how a high static magnetic field (MF) affects the diffusion of paramagnetic and diamagnetic species, including oxygen, hemoglobin…
Spencer Wozniak, Michael Feig
The viscosity and diffusion properties of crowded protein systems were investigated with molecular dynamics simulations of SH3 mixtures with different crowders, and results were compared with experimental data. The simulations accurately reproduced experimental trends across a wide range of protein concentrations…
Xiaofeng Yang, Luyao Shang, Jian Sui
In the classical transport theory, the coefficients such as the diffusion, thermal conductivity and viscosity of fluid are usually expressed in a form proportional to the mean free path of molecules. We point out that this may cause a great misunderstanding in the molecular transport theory and prove from multiple…
Sadegh Ahmadpour, Raoof Gholami, Mojtaba Ghaedi, Martin J. Blunt
The transition to a hydrogen-based energy system requires safe and efficient large-scale storage solutions. Underground hydrogen storage (UHS) has emerged as a promising candidate, but the effectiveness and long-term security of UHS depend on a fundamental understanding of hydrogen transport mechanisms in subsurface…
Felipe Pereira-Alves, Diogo O. Soares-Pinto, Fernando Fernandes Paiva
The diffusion motion of spin-bearing molecules is considerably affected in confined environments. In Nuclear Magnetic Resonance (NMR) experiments, under the presence of magnetic field gradients, this movement can be encoded in spin phase and the NMR signal attenuation due to diffusion can be evaluated. This paper…
Jixin Chen
Predicting the reaction kinetics, that is, how fast a reaction can happen in a solution, is essential information for many processes, such as industrial chemical manufacturing, refining, synthesis and separation of petroleum products, environmental processes in air and water, biological reactions in cells, biosensing…
Jixin Chen
Predicting the reaction kinetics, that is, how fast a reaction can happen in a solution, is essential information for many processes, such as industrial chemical manufacturing, refining, synthesis and separation of petroleum products, environmental processes in air and water, biological reactions in cells, biosensing…
Hannah C. Price, Johan Mattsson, Benjamin J. Murray
We report the first direct measurements of sucrose diffusion in aqueous solution at sucrose mass fractions above 0.75.
Sarthak Patnaik
We know that the diffusion is defined as the movement of molecules under a potential gradient. It is characterized by the diffusion coefficient. Diffusion coefficient determination can be done via various techniques, but in this paper, we have had a broad look at interferometry based optical methods for diffusion…
H. Mert Polat, Felipe M. Coelho, Thijs J. H. Vlugt, Luís Fernando Mercier Franco + 2 more
CO 2 in H 2 O: A Review of Experimental Studies and Molecular Simulations in the Bulk and in Confinement Authors: H. Mert Polat, Felipe M. Coelho, Thijs J. H. Vlugt, Luís Fernando Mercier Franco, Ioannis N. Tsimpanogiannis, Othonas A. Moultos An in-depth review of the available experimental and molecular simulation…
Gerard McCaul, Andreas Mershin, Denys I. Bondar
In this work we consider the question of whether a simple diffusive model can explain the scent tracking behaviors found in nature. For such tracking to occur, both the concentration of a scent and its gradient must be above some threshold. Applying these conditions to the solutions of various diffusion equations, we…
Jixin Chen
Predicting the reaction kinetics, that is, how fast a reaction can happen in a solution, is essential information for many processes, such as industrial chemical manufacturing, refining, synthesis and separation of petroleum products, environmental processes in air and water, biological reactions in cells, biosensing…