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Updated: Jan 19, 2026

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method
Published on: April 11, 2020
Nonequilibrium phase transition in constrained adsorption.
1Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031 Aversa, Italy and The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, 34151 Trieste, Italy.
This study models fluid molecule adsorption-desorption on solids using irreversible kinetics. Numerical simulations reveal a continuous nonequilibrium phase transition in one dimension, dependent on irreversibility strength.
Area of Science:
- Physics
- Chemistry
- Materials Science
Background:
- Studying adsorption-desorption dynamics is crucial for understanding surface phenomena.
- Nonequilibrium systems offer unique phase transition behaviors.
- Local detailed balance is a common assumption in physical models.
Purpose of the Study:
- To investigate adsorption-desorption transitions using a novel schematic model.
- To explore the impact of violating local detailed balance on phase transitions.
- To analyze the system's behavior in one spatial dimension.
Main Methods:
- Introduction of a schematic model with irreversible kinetic constraints.
- Tunable violation of the local detailed balance condition.
- Numerical simulations to observe phase transitions.
- Closure of multipoint correlation function hierarchy via decoupling approximation.
Main Results:
- A continuous nonequilibrium phase transition was observed in one spatial dimension.
- The transition's location is sensitive to the irreversibility strength.
- A second-order decoupling approximation effectively closes the correlation function hierarchy.
- The approximated steady-state solution accurately describes the phase diagram.
Conclusions:
- The model successfully captures complex adsorption-desorption dynamics.
- Violation of detailed balance leads to observable nonequilibrium phase transitions.
- The employed approximation provides a reliable method for analyzing such systems.
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