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Folding and aggregation of proteins, the interaction between proteins and membranes, as well as the adsorption of organic soft matter to inorganic solid substrates belong to the most interesting challenges in understanding structure and…

Soft Condensed Matter · Physics 2007-12-06 Michael Bachmann , Wolfhard Janke

Research on human face processing using eye movements has provided evidence that we recognize face images successfully focusing our visual attention on a few inner facial regions, mainly on the eyes, nose and mouth. To understand how we…

Computer Vision and Pattern Recognition · Computer Science 2017-09-06 Carlos E. Thomaz , Vagner Amaral , Gilson A. Giraldi , Duncan F. Gillies , Daniel Rueckert

When a binary fluid demixes under a slow temperature ramp, nucleation, coarsening and sedimentation of droplets lead to an oscillatory evolution of the phase separating system. The advection of the sedimenting droplets is found to be…

Fluid Dynamics · Physics 2012-05-31 Tobias Lapp , Martin Rohloff , Jürgen Vollmer , Björn Hof

Identifying and removing microplastics (MPs) from the environment is a global challenge. This study explores how the colloidal fraction of common MPs behave at aqueous interfaces of liquid crystal (LC) films. We observed polyethylene (PE)…

Soft Condensed Matter · Physics 2022-10-06 Fiona Mukherjee , Anye Shi , Xin Wang , Fengqi You , Nicholas L. Abbott

Based on the invasion percolation model, a lattice model for the sweeping interface dynamics is constructed to describe the pattern forming process by a sweeping interface upon drying the water-granule mixture. The model is shown to produce…

Statistical Mechanics · Physics 2007-06-26 Hiizu Nakanishi , Ryo Yamamoto , Yumino Hayase , Namiko Mitarai

In this work, we use the standard deviation of image pixel intensity to analyse the speed, direction and surface-interaction of microparticles in fluid. First, we present an analytical model for estimating the total variance in the image…

Applied Physics · Physics 2019-04-10 Harish Sasikumar , Manoj M. Varma

By reducing resolution, coarse-grained models greatly accelerate molecular simulations, unlocking access to long-timescale phenomena, though at the expense of microscopic information. Recovering this fine-grained detail is essential for…

Chemical Physics · Physics 2026-03-27 Sander Hummerich , Tristan Bereau , Ullrich Köthe

The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc. It is a potentially significant yet under-researched problem. Emulating the remarkable human ability to…

Computer Vision and Pattern Recognition · Computer Science 2015-05-04 Hongping Cai , Qi Wu , Tadeo Corradi , Peter Hall

A fundamental goal of research in molecular biology is to understand protein structure. Protein crystallography is currently the most successful method for determining the three-dimensional (3D) conformation of a protein, yet it remains…

Artificial Intelligence · Computer Science 2014-11-17 L. Leherte , J. Glasgow , K. Baxter , E. Steeg , S. Fortier

Dip-coating consists in withdrawing a substrate from a bath to coat it with a thin liquid layer. This process is well-understood for homogeneous fluids, but heterogeneities such as particles dispersed in the liquid lead to more complex…

Soft Condensed Matter · Physics 2022-03-02 Deok-Hoon Jeong , Michael Ka Ho Lee , Virgile Thiévenaz , Martin Z. Bazant , A. Sauret

Additive manufacturing at the micro- and nanoscale has seen a recent upsurge to suit the increasing demand for more elaborate structures. However, the integration and precise placement of multiple distinct materials at small scales remain a…

Soft Condensed Matter · Physics 2022-08-05 Steven van Kesteren , Xueting Shen , Michele Aldeghi , Lucio Isa

Recently, deep convolutional neural networks have shown good results for image recognition. In this paper, we use convolutional neural networks with a finder module, which discovers the important region for recognition and extracts that…

Computer Vision and Pattern Recognition · Computer Science 2018-12-27 Yusei Miura , Tetsuya Sakurai , Claus Aranha , Toshiya Senda , Ryuichi Kato , Yusuke Yamada

Birefringence, an inherent characteristic of optically anisotropic materials, is widely utilized in various imaging applications ranging from material characterizations to clinical diagnosis. Polarized light microscopy enables…

X-ray photon correlation spectroscopy was used to measure the diffusive dynamics of colloidal particles in a shear flow. The results presented here show how the intensity autocorrelation functions measure both the diffusive dynamics of the…

Soft Condensed Matter · Physics 2009-11-13 Sebastian Busch , Torben Haugaard Jensen , Yuriy Chushkin , Andrei Fluerasu

Binary droplet collisions are of importance in a variety of practical applications comprising dispersed two-phase flows. The background of our research is the prediction of properties of particulate products formed in spray processes. To…

Fluid Dynamics · Physics 2012-10-24 C. Focke , D. Bothe , M. Kuschel , M. Sommerfeld

Micrograph quantification is an essential component of several materials science studies. Machine learning methods, in particular convolutional neural networks, have previously demonstrated performance in image recognition tasks across…

Applied Physics · Physics 2019-06-14 Elizabeth Kautz , Wufei Ma , Saumyadeep Jana , Arun Devaraj , Vineet Joshi , Bülent Yener , Daniel Lewis

The process of colloidal drying gives way to particle self-assembly in numerous elds including photonics or biotechnology. Yet, the mechanisms and conditions driving the nal particle arrangement in dry colloidal layers remain elusive. Here,…

Recent progress in image recognition has stimulated the deployment of vision systems at an unprecedented scale. As a result, visual data are now often consumed not only by humans but also by machines. Existing image processing methods only…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Zhuang Liu , Hung-Ju Wang , Tinghui Zhou , Zhiqiang Shen , Bingyi Kang , Evan Shelhamer , Trevor Darrell

State-of-the-art image segmentation algorithms generally consist of at least two successive and distinct computations: a boundary detection process that uses local image information to classify image locations as boundaries between objects,…

Computer Vision and Pattern Recognition · Computer Science 2016-11-03 Michał Januszewski , Jeremy Maitin-Shepard , Peter Li , Jörgen Kornfeld , Winfried Denk , Viren Jain

The invasion of air into porous systems in drying processes is often localized in soft materials, such as colloidal suspensions and granular pastes, and it typically develops in the form of cracks before ordinary drying begins. To…

Soft Condensed Matter · Physics 2013-05-21 So Kitsunezaki
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