Demixing of an active-passive binary mixture through a two-dimensional elastic meshwork
Ramanand Singh Yadav1, Rajarshi Chakrabarti1
1Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India. rajarshi@chem.iitb.ac.in.
Soft Matter
|February 25, 2025
Summary
Separating active and passive particles of the same size is challenging. This study demonstrates an in silico method using an elastic meshwork to achieve particle separation based on motility, controlled by mesh properties.
Area of Science:
- Physics
- Soft Matter Physics
- Particle Physics
Background:
- Separating particles by motility is difficult, especially for same-sized, low-density particles.
- Existing methods often require external stimuli or are ineffective when particle clustering is not feasible.
Purpose of the Study:
- To propose and demonstrate a novel in silico method for separating active and passive particles.
- To investigate the role of elastic meshwork properties in controlling particle demixing.
Main Methods:
- Utilizing an in silico model of a dilute monodisperse mixture of active-passive particles.
- Introducing an elastic meshwork with tunable mesh size and stiffness.
- Analyzing particle behavior and separation dynamics based on particle activity and mesh properties.
Main Results:
- Demixing of active and passive particles is achieved by introducing an elastic meshwork.
- A threshold particle activity exists, above which separation occurs.
- Mesh size and stiffness are critical parameters controlling the separation efficiency.
Conclusions:
- The proposed in silico method offers a viable approach for active-passive particle separation without external stimuli.
- Findings suggest that elastic meshworks can be engineered for controlled particle demixing.
- This work opens new possibilities for particle separation in systems where clustering is not feasible.
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