Heterogeneous response and non-Markovianity in the microrheology of semisolid viscoelastic materials
T. N. Azevedo, L. G. Rizzi

TL;DR
This paper uses numerical simulations to investigate how micro-heterogeneities in semisolid viscoelastic materials influence microrheological measurements, revealing deviations from Gaussian displacement distributions and providing analytical tools for characterization.
Contribution
It introduces a non-Markovian Langevin simulation approach to analyze the impact of micro-heterogeneities on microrheology, offering new analytical methods for material characterization.
Findings
Micro-heterogeneities affect mean squared displacement and shear moduli.
Displacement distributions deviate from Gaussian behavior due to heterogeneities.
Analytical characterization of micro-heterogeneities is achieved through microrheology.
Abstract
Recent works indicate that heterogeneous response and non-Markovianity may yield recognizable hallmarks in the microrheology of semisolid viscoelastic materials. Here we perform numerical simulations using a non-Markovian overdamped Langevin approach to explore how the microrheology experienced by probe particles immersed in an effective semisolid material can be influenced by its micro-heterogeneities. Our results show that, besides affecting the mean squared displacement, the time-dependent diffusion coefficient, and the shear moduli, the micro-heterogeneities lead to displacement distributions that deviate from the usual Gaussian behavior. In addition, our study provides an analytical way to characterize the micro-heterogeneities of semisolid viscoelastic materials through their microrheology.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMaterial Dynamics and Properties · Force Microscopy Techniques and Applications · Theoretical and Computational Physics
