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Breaking universality in random sequential adsorption on a square lattice with long-range correlated defects
Sumanta Kundu1, Dipanjan Mandal2
1Department of Earth and Space Science, Osaka University, 560-0043 Osaka, Japan.
Spatial correlations in defects disrupt universal jamming and percolation transitions in particle adsorption systems. These transitions become nonuniversal with strong correlations, impacting critical exponents and thresholds.
Area of Science:
- Physics
- Statistical Mechanics
- Materials Science
Background:
- Random sequential adsorption (RSA) on lattices exhibits universal critical exponents for jamming and percolation transitions.
- Universality is typically maintained even with randomly distributed defective sites.
- Defects with spatial long-range correlations, however, can alter these established universal behaviors.
Purpose of the Study:
- To investigate the impact of spatially correlated defects on jamming and percolation transitions in RSA.
- To determine if universality is preserved when defects exhibit power-law spatial correlations.
- To analyze the critical exponents and percolation threshold under varying defect correlation strengths.
Main Methods:
- Large-scale Monte Carlo simulations were employed.
- Dimers were deposited on a square lattice.
- Finite-size scaling analysis was used to study critical phenomena.
Main Results:
- Systems with strong spatial correlations in defects deviate from universal behavior.
- Critical exponents for jamming (ν_{j}) and percolation (ν) become nonuniversal.
- Percolation threshold decreases with increasing spatial correlation strength.
- A difference in the percolation correlation length exponent (ν) was observed for correlated defects.
Conclusions:
- The presence of spatially long-range correlated defects breaks the universality class of jamming and percolation transitions.
- Nonuniversal critical exponents and modified percolation thresholds are observed under strong defect correlations.
- The findings highlight the importance of defect spatial characteristics in statistical physics models.
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