Search arXivSearch

arXiv · 2503.23449

Dewetting Dynamics of Unstable Lubricant Impregnated Surfaces in Liquid Environment

Abstract

This article outlines a thorough stability analysis by means of both theoretical and experimental modeling for Omni-phobic Lubricant Impregnated Surfaces (LIS). The liquid-repellent properties, particularly with regard to water and oil, have gained substantial attention due to their numerous potential applications. The theoretical section of this study focuses on the validation of mathematical models to understand the underlying principles driving the stability of Omni-phobic LIS. Theoretical insights about the interaction of surface texture, chemical composition, impregnated, and ambient liquid properties contribute to a better understanding of the mechanisms that govern stability. A series of experiments were performed to understand better the stability of fabricated Omni-phobic LIS under cyclopentane and water environments, including viscosity and surface texture variations, especially post-spacing variation. The experimental results validate the theoretical predictions and provide valuable statistical information regarding possible model modification. The replaced oil or nucleation sites can be explained through CHNT. The analysis was further validated with experimentally observed nucleation sites. This confirms the accuracy of the nucleation predictions and supports the underlying theoretical model. According to the CLW model, the length of a liquid's penetration into a cylinder/square-shaped capillary is expressed as a square root of time. Our findings contribute to designing a stable LIS and then determining the model followed by an unstable one. The proposed MLW model validated the experimental results. In addition, these experimental data points fit the different capillary imbibition regimes such as inertial, early viscous etc. This contributes to the development of robust and durable solutions for practical applications.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Abhishek Mund, Arindam Das. 2025-03-30. Dewetting Dynamics of Unstable Lubricant Impregnated Surfaces in Liquid Environment. https://arxiv.org/abs/2503.23449

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Scale dependent chirality in twist-bend liquid crystals

The discovery of new classes of lyotropic and thermotropic liquid crystals (e.g., twist-bend, splay, and ferroelectric phases), together with significant advances in experimental techniques for their investigation, has renewed interest in a number of physical phenomena that have been studied in classical liquid crystals (nematics, cholesterics, and smectics) for more than a century. In this paper, we revisit one such ''old--new'' problem, recently highlighted in the preprint by A. Ashkinazi, H. Chhabra, A. El Moumane, M. M. C. Tortora, and J. P. K. Doye, ''Chirality Transfer in Lyotropic Twist-Bend Nematics,'' arXiv:2508.03544v1 (2025), in which various mechanisms of chirality transfer from the molecular scale to the structural scale were discussed. Here we present a simple theoretical analysis of chirality transfer within a Landau theory describing the phase transition between cholesteric and chiral twist-bend liquid crystals. We demonstrate that the handedness of the heliconical structure is opposite to that of the parent cholesteric phase. This relationship originates from the orthogonality between the cholesteric director and the vector order parameter characterizing the phase.

cond-mat.soft

Why life is hot

The process of evolution by natural selection leads to phenotypes of increasing fitness. For cellular chemical reaction networks, this means optimising a variety of fitness functions such as robustness, precision, or sensitivity to external stimuli. We argue that these diverse goals can be achieved by a versatile, generic mechanism: coupling chemical reaction networks to reservoirs that are strongly out of equilibrium. Using theory and numerics we show that this mechanism of optimisation comes at the price of significant heat dissipation. We compute the heat flux caused by kinetic proofreading in {\it Escherichia coli} and show that it constitutes a significant fraction of the total heat flux experimentally measured in this model organism. We then demonstrate that the degree of optimality achievable saturates, and that Nature appears to operate near saturation despite high energetic costs. We argue that `life is hot' largely because of the need for a versatile mechanism to optimise a variety of fitness functions.

cond-mat.soft

Understanding Structural Representation in Foundation Models for Polymers

From the relative scarcity of training data to the lack of standardized benchmarks, the creation of effective foundation models for polymers faces significant and multi-faceted challenges. At the core, many of these issues are tied directly to the structural representation of polymers. Here, we present a chemical language foundation model built on using a SMILES-based polymer graph representation (CPG) that incorporates polymer architectural features and connectivity that are often missing in other line notations. This foundation model exhibited excellent performance on 30 different polymer property benchmark datasets. Critical evaluation of the developed representation against other variations in control experiments reveals this approach to be a robust method of representing polymers in language-based foundation models. These experiments also reveal a strong invariance of structural representations to small perturbations, with many variations of structural representation exceeding or equaling state-of-the-art (SOTA) performance. Surprisingly, SMILES representations which are chemically or semantically invalid also provided near or SOTA performance in several instances--underscoring an unexamined blind spot in the development of chemistry language models. Examination of error sources and attention maps for the evaluated structural representations corroborate the findings of the control experiments, highlighting the ability of the model to interpolate SMILES sequence space in a manner that is loosely congruent to chemical and architectural space for polymers. Overall, this work highlights the surprising robustness of chemistry language models to structural representation perturbations and identifies the conditions under which CPG representation provides meaningful advantages.

cond-mat.soft