Results 1 to 10 of about 146,282 (75)

Future Directions for Active Matter on Ordered Substrates [PDF]

EPL 139, 27001 (2022), 2022
Active matter is a term encompassing particle-based assemblies with some form of self-propulsion, including certain biological systems as well as synthetic systems such as artificial colloidal swimmers, all of which can exhibit a remarkable variety of new kinds of nonequilibrium phenomena.
arxiv   +1 more source

Rejuvenation and memory effects in active glasses induced by thermal and active cycling [PDF]

Phys. Rev. Research 6, 023257 (2024), 2023
It has recently been shown that thermal active glasses can display physical aging behavior comparable to that of passive glasses, although there are some notable distinctions due to the intrinsic non-equilibrium nature of active matter. The question whether active disordered materials can also exhibit rejuvenation and memory effects, akin to the ...
arxiv   +1 more source

Coexistence of active and hydrodynamic turbulence in two dimensional active nematics [PDF]

, 2022
In active nematic liquid crystals activity is able to drive chaotic spatiotemporal flows referred to as active turbulence. Active turbulence has been characterized through theoretical and experimental work as a low Reynolds number phenomenon. We show that, in two-dimensions, the active forcing alone is able to trigger hydrodynamic turbulence leading to
arxiv   +1 more source

Active chiral molecules in activity gradients [PDF]

, 2022
While the behavior of active colloidal molecules is well studied by now for a constant activity, the effect of activity gradients is much less understood. Here we explore one of the simplest molecules in activity gradients, namely active chiral dimers composed of two particles with opposite active torques of the same magnitude.
arxiv   +1 more source

Estimating the Roles of Protonation and Electronic Polarization in Absolute Binding Affinity Simulations [PDF]

arXiv, 2021
Accurate prediction of binding free energies is critical to streamlining the drug development and protein design process. With the advent of GPU acceleration, absolute alchemical methods, which simulate the removal of ligand electrostatics and van der Waals interactions with the protein, have become routinely accessible and provide a physically ...
arxiv  

Activation Functions: Dive into an optimal activation function [PDF]

arXiv, 2022
Activation functions have come up as one of the essential components of neural networks. The choice of adequate activation function can impact the accuracy of these methods. In this study, we experiment for finding an optimal activation function by defining it as a weighted sum of existing activation functions and then further optimizing these weights ...
arxiv  

The random first-order transition theory of active glass in the high-activity regime [PDF]

arXiv, 2021
Dense active matter, in the fluid or amorphous-solid form, has generated intense interest as a model for the dynamics inside living cells and multicellular systems. An extension of the random first-order transition theory (RFOT) to include activity was developed, whereby the activity of the individual particles was added to the free energy of the ...
arxiv  

Activity gradients in two- and three-dimensional active nematics [PDF]

arXiv, 2022
We numerically investigate how spatial variations of extensile or contractile active stress affect bulk active nematic systems in two and three dimensions. In the absence of defects, activity gradients drive flows which re-orient the nematic director field and thus act as an effective anchoring force.
arxiv  

Review of Machine Learning Algorithms for Brain Stroke Diagnosis and Prognosis by EEG Analysis [PDF]

arXiv, 2020
Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen activator are limited in their effectiveness and ability to restore mobility and function to the patient.
arxiv  

BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition [PDF]

arXiv, 2022
The development of IoT technology enables a variety of sensors can be integrated into mobile devices. Human Activity Recognition (HAR) based on sensor data has become an active research topic in the field of machine learning and ubiquitous computing. However, due to the inconsistent frequency of human activities, the amount of data for each activity in
arxiv