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In simple colloidal suspensions, clusters are various multimers that result from colloid self-association and exist in equilibrium with monomers.There are two types of potentials that are known to produce clusters: a) potentials that result…

Soft Condensed Matter · Physics 2016-03-08 A. Baumketner , W. Cai

Assuming perfect collision efficiency, we demonstrate that turbulence can initiate and sustain the rapid growth of very small water droplets in air even when these droplets are too small to cluster, and even without having to take gravity…

Fluid Dynamics · Physics 2011-11-18 Vassilios Dallas , J. Christos Vassilicos

Drone swarms are required for the simultaneous delivery of multiple packages. We demonstrate a multi-stop drone swarm-based delivery in a smart city. We leverage formation flying to conserve energy and increase the flight range of a drone…

Robotics · Computer Science 2022-01-31 Xijing Liu , Kevin Lam , Balsam Alkouz , Babar Shahzaad , Athman Bouguettaya

We show that the unsteadiness of turbulence has a drastic effect on turbulence parameters and in particle cluster formation. To this end we use direct numerical simulations of particle laden flows with a steady forcing that generates an…

Catastrophic tornadoes cause severe damage and are a threat to human wellbeing, making it critical to determine mitigation strategies to reduce their impact. One such strategy, following recent research, is to retrofit existing structures.…

Optimization and Control · Mathematics 2023-09-06 Mehdi Ansari , Juan S. Borrero , Andres D. Gonzalez

The results are presented of an analysis, with the help of the method of multilevel dynamical contrasting of the images, of available databases of the images of tornado. This analysis extends some preliminary results on identification of…

Atmospheric and Oceanic Physics · Physics 2007-05-23 A. B. Kukushkin , V. A. Rantsev-Kartinov

A new type of a levitating droplet clusters composed of often transforming small aggregates of water droplets is described for the first time. Unlike earlier observed droplet clusters controlled by aerodynamic forces, which formed either an…

In this paper we demonstrate how one of the most powerful methods in mathematics and statistics can be used to optimally control and reduce traffics in smart cities. The main goal of the present work is to use the least squares method [5]…

Optimization and Control · Mathematics 2022-05-03 Hazim Al Gharrawi , Majid Bani Yaghoub

Finite-dimensional wave turbulence refers to the chaotic dynamics of interacting wave `clusters' consisting of finite number of connected wave triads with exact three-wave resonances. We examine this phenomenon using the example of…

Chaotic Dynamics · Physics 2010-01-03 Victor S. L'vov , Anna Pomyalov , Itamar Procaccia , Oleksii Rudenko

Colloidal systems present exciting opportunities to study clusters. Unlike atomic clusters, which are frequently produced at extremely low density, colloidal clusters may interact with one another. Here we consider the effect of such…

Soft Condensed Matter · Physics 2011-01-20 Alex Malins , Stephen R. Williams , Jens Eggers , Hajime Tanaka , C. Patrick Royall

Natural disasters are highly complex and unpredictable. However, long-term planning and preparedness activities can help to mitigate the consequences and reduce the damage. For example, in cities with a high risk of flooding, appropriate…

Optimization and Control · Mathematics 2023-02-17 Vahid Eghbal Akhlaghi , Ann Melissa Campbell , Ibrahim Demir

With the increasing urgency of climate change's impacts and limited success in reducing emissions, "geoengineering," or the artificial manipulation of the climate to reduce warming rates, has been proposed as an alternative short-term…

Physics and Society · Physics 2024-12-06 Felipe de Bolle , Egemen Kolemen

Crowd trajectory prediction plays a crucial role in public safety and management, where it can help prevent disasters such as stampedes. Recent works address the problem by predicting individual trajectories and considering surrounding…

Artificial Intelligence · Computer Science 2026-03-20 Antonius Bima Murti Wijaya , Paul Henderson , Marwa Mahmoud

Turbulent fountains are widespread natural phenomena with numerous industrial applications. Extensive research has focused on the temporal evolution and maximum height of these fountains, as well as their dependence on Reynolds and Froude…

Fluid Dynamics · Physics 2023-05-16 Luis G. Sarasua , Daniel Freire Caporale , Nicaso Barrere , Arturo C. Marti

While several studies have investigated large-scale cluster winds resulting from an intra-cluster interaction of multiple stellar winds, as yet they have not provided details of the bordering flows inside a given cluster. The present work…

Solar and Stellar Astrophysics · Physics 2018-08-30 Klaus Scherer , Alexander Noack , Jens Kleimann , Horst Fichtner , Kertsin Weis

Earthquake is one of the natural disasters which cannot be either controlled or predicted absolutely. Since preventing earthquake is impossible, preventing its damages is also difficult. Unfortunately, after each earthquake and its…

Networking and Internet Architecture · Computer Science 2023-01-10 Masoud Hayeri Khyavi

We experimentally generate optical tornado waves using spatial multiplexing on a single-phase modulation device. In their focal region, the intensity pattern outlines a spiral of decreasing radius and pitch. We examine the propagation…

The interaction of multiple bubbles is a complex physical problem. A simplified case of multiple bubbles is studied theoretically with a bubble located at the center of a circular bubble cluster. All bubbles in the cluster are equally…

Fluid Dynamics · Physics 2023-02-23 A-Man Zhang , Shi-Min Li , Pu Cui , Shuai Li , Yun-Long Liu

The ability to analyze and forecast stratospheric weather conditions is fundamental to addressing climate change. However, our capacity to collect data in the stratosphere is limited by sparsely deployed weather balloons. We propose a…

Machine Learning · Computer Science 2019-12-06 Kiwan Maeng , Iskender Kushan , Brandon Lucia , Ashish Kapoor

Network models provide a powerful and flexible framework for analyzing a wide range of structured data sources. In many situations of interest, however, multiple networks can be constructed to capture different aspects of an underlying…

Social and Information Networks · Computer Science 2021-11-03 Madeline Navarro , Genevera I. Allen , Michael Weylandt