Related Experiment Video
Updated: Jun 4, 2025

Introduction to Solid Supported Membrane Based Electrophysiology
Published on: May 11, 2013
Availability, storage capacity, and diffusion: Stationary states of an asymmetric exclusion process connected to two
Sourav Pal1, Parna Roy2, Abhik Basu1
1Theory Division, <a href="https://ror.org/0491yz035">Saha Institute of Nuclear Physics</a>, Homi Bhabha National Institute, 1/AF Bidhannagar, Calcutta 700064, West Bengal, India.
Abstract:
We explore how the interplay of finite availability, carrying capacity of particles at different parts of a spatially extended system, and particle diffusion between them control the steady-state currents and density profiles in a one-dimensional current-carrying channel connecting the different parts of the system. To study this, we construct a minimal model consisting of two particle reservoirs of finite carrying capacities connected by a totally asymmetric simple exclusion process (TASEP). In addition to particle transport via TASEP between the reservoirs, the latter can also directly exchange particles via Langmuir kinetics-like processes, modeling particle diffusion between them that can maintain a steady current in the system. We calculate the steady-state density profiles and the associated particle currents in the TASEP lane. The resulting phases and the phase diagrams are quite different from an open TASEP, and are characterized by the model parameters defining particle exchanges between the TASEP and the reservoirs, direct particle exchanges between the reservoirs, and the filling fraction of the particles that determines the total resources available. These parameters can be tuned to make the density on the TASEP lane globally uniform or piecewise continuous, and can make the two reservoirs preferentially populated or depopulated.
More Related Videos
Related Concept Videos
Ion Exchange
Cyclic Processes And Isolated Systems
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
Speciation Rates
Dynamic Equilibrium
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The Two-State Receptor Model
The binding affinity of a drug determines its interaction with...

