Related Experiment Video
Updated: Nov 25, 2025

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
Published on: April 13, 2022
Dynamics and large deviation transitions of the XOR-Fredrickson-Andersen kinetically constrained model
Luke Causer1,2, Igor Lesanovsky1,2,3, Mari Carmen Bañuls4,5
1School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
We introduce the XOR-F model, a new kinetically constrained model (KCM) inspired by Rydberg atoms. This model exhibits unique dynamics and phase transitions driven by large fluctuations, studied using tensor networks.
Area of Science:
- Statistical Mechanics
- Condensed Matter Physics
- Quantum Optics
Background:
- Kinetically constrained models (KCMs) exhibit complex dynamics and phase transitions.
- Rydberg atoms in a "facilitated" regime provide inspiration for novel KCMs.
- Standard Fredrickson-Andersen (FA) model is a well-studied KCM.
Purpose of the Study:
- Introduce and analyze the XOR-F model, a novel 1D classical stochastic KCM.
- Explore the dynamics of the XOR-F model and its relation to exclusion processes.
- Investigate phase transitions between active and inactive dynamical phases in the XOR-F model.
Main Methods:
- Domain wall representation to describe XOR-F model dynamics.
- Numerical tensor network methods for detailed analysis.
- Study of dynamical large deviation regime.
Main Results:
- The XOR-F model displays relaxation dynamics influenced by large fluctuations.
- Phase transitions between active and inactive dynamical phases are observed.
- The model's dynamics are linked to simple exclusion processes.
Conclusions:
- The XOR-F model offers a new framework for studying KCM dynamics.
- Large dynamical fluctuations are key to understanding phase transitions in KCMs.
- Tensor network methods are effective for analyzing KCMs in the large deviation regime.
More Related Videos
06:48Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
Published on: January 5, 2024
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
Related Concept Videos
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.
Stability of Equilibrium Configuration
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
BIBO stability of continuous and discrete -time systems
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
Mechanistic Models: Compartment Models in Individual and Population Analysis
First Law: Particles in One-dimensional Equilibrium