Article
Physics, Fluids & Plasmas
J. D. Torrenegra-Rico, A. Arango-Restrepo, J. M. Rubi
Summary: We have demonstrated the existence of stochastic resonance in the transport of active colloidal particles under confinement. Through the periodic addition of substrate, we found that the spectral amplification reaches its maximum at an optimal noise level, enabling the particles to travel longer distances with lower fuel consumption. This finding has important implications for medical treatments, soil remediation, and transport in cell membranes and tissues.
Article
Multidisciplinary Sciences
Christina Kurzthaler, Suvendu Mandal, Tapomoy Bhattacharjee, Hartmut Lowen, Sujit S. Datta, Howard A. Stone
Summary: Efficient navigation through porous environments by swimming microorganisms and microrobots can be optimized by adjusting their run lengths to match the longest straight path available in the porous medium, a criterion termed as the optimal spreading criterion. This criterion unifies results for porous media with different pore sizes and shapes and for run-and-tumble polymers, providing a fundamental principle for achieving optimal transport of active agents in densely-packed biological and environmental settings.
NATURE COMMUNICATIONS
(2021)
Article
Physics, Fluids & Plasmas
Mohammad Nabil, Andrew Frankowski, Ashton Orosa, Andrew Fuller, Amir Nourhani
Summary: We proposed a method to modulate the drifting motion of overdamped circle swimmers in steady fluid flows by static sinusoidal potentials, and quantified the drift velocity as a function of potential strength and wavelength with and without diffusional motion. The results show that drift velocity is essentially quantized without diffusion but has a continuous range with noise, and different regimes can be observed based on the dimensionless potential wave number in the drift velocity diagram. This method can help differentiate biological and artificial circle swimmers based on their dynamical properties.
Review
Physics, Applied
Oskar Hallatschek, Sujit S. Datta, Knut Drescher, Joern Dunkel, Jens Elgeti, Bartek Waclaw, Ned S. Wingreen
Summary: The fascinating patterns of collective motion created by autonomously driven particles have fueled active-matter research for over two decades. In this Perspective, researchers argue that the unique features emerging in systems with proliferation represent a distinct form of activity, and propose proliferation as another direction of active-matter physics. They believe that by extending the conceptual framework developed for conventional active matter to proliferating active matter, researchers can have a profound impact on quantitative biology and reveal fascinating emergent physics.
NATURE REVIEWS PHYSICS
(2023)
Article
Multidisciplinary Sciences
Boyang Qin, Paulo E. Arratia
Summary: This study investigates the transport of microorganisms in complex unsteady flows using simulations and experiments. The results reveal that the dispersion dynamics of swimming bacteria are controlled by the pathlength of the flow and the swimmer speed. The study demonstrates the nontrivial chaotic transport that can occur in simple unsteady flows and suggests a potentially optimal dispersal strategy for microswimmers in nature.
Article
Microbiology
Claudia Sanchis-Lopez, Jean Paul Cerna-Vargas, Saray Santamaria-Hernando, Cayo Ramos, Tino Krell, Pablo Rodriguez-Palenzuela, Emilia Lopez-Solanilla, Jaime Huerta-Cepas, Jose J. Rodriguez-Herva
Summary: Chemosensory pathways in bacteria are crucial for environmental sensing and response, with a large diversity of ligand binding domains (LBDs) identified. Our study demonstrates the importance of environmental factors in shaping the evolution and selection of LBDs, especially in plant-associated bacteria. The presence of niche-specific LBD types suggests lifestyle adaptation is important in the selection of these signal transduction proteins.
Article
Microbiology
Guanjing Cai, Xiaoqi Yu, Hui Wang, Tianling Zheng, Farooq Azam
Summary: This study explored the dynamic interactions between the ubiquitous marine bacterium Alteromonas sp. and a diatom Thalassiosira pseudonana under different nutrient conditions. The interactions varied from mutualism to weak parasitism depending on the nutrient conditions. Alteromonas exhibited a contact-dependent algicidal behavior when activated by organic matter, while T. pseudonana showed amensalism against Alteromonas when activated by inorganic matter. The results highlight the importance of nutrient conditions in shaping the nature and intensity of bacteria-diatom interactions.
Article
Physics, Applied
Prateek Benhal, David Quashie, U. Kei Cheang, Jamel Ali
Summary: This study investigates the dynamic behavior of self-assembling achiral swimmers in viscous media, revealing nonlinear relationships between the dynamic response of the swimmers and fluid viscosity, as well as dependencies of swimmer motion on fluid viscosity and geometry. The findings will contribute to the development of control strategies for propelling other simple swimmers and optimization of swimmer designs critical for low Reynolds number applications in the future.
APPLIED PHYSICS LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Sean Mann, Eric Fadel, Samuel S. Schoenholz, Ekin D. Cubuk, Steven G. Johnson, Giuseppe Romano
Summary: Partial derivative PV is an end-to-end differentiable photovoltaic cell simulator that efficiently computes the power conversion efficiency and its derivative with respect to input parameters. It has applications in perovskite solar cell optimization and multi-parameter discovery.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Mathematics
Sachiko Ishida, Tomomi Yokota
Summary: This paper investigates the problem of global bounded weak solutions for a degenerate system in a bounded domain, which converges to a constant equilibrium in the weak* topology in L∞(Q) as t→∞ under certain conditions.
JOURNAL OF DIFFERENTIAL EQUATIONS
(2023)
Article
Psychology, Mathematical
Rainer W. Alexandrowicz, Bartosz Gula
Summary: This article discusses the impact of sample size on detecting group differences in ability and introduces an online tool for power analysis through a simulation study. The results show that the approach using the Drift Diffusion Model is superior to analyzing response times and accuracies separately. However, the article also highlights the estimation bias issue with the EZ method.
BEHAVIOR RESEARCH METHODS
(2022)
Article
Multidisciplinary Sciences
Edwin Chau, Carolyn A. Murray, Ladan Shams
Summary: By utilizing hierarchical drift diffusion models (HDDMs), the study reveals a multisensory advantage in auditory-visual tasks and demonstrates that large sample sizes are not necessary for reliable parameter estimation.
Article
Chemistry, Physical
Ting Lei, Chaonan Zhao, Ran Yan, Nanrong Zhao
Summary: Extensive studies have shown that chirality, anisotropic interactions, and spatial confinement play crucial roles in collective dynamics in active matter systems. However, the overall impact of these factors on novel phases and macroscopic properties is still not well understood.
Article
Computer Science, Software Engineering
Anas Ali Alkasasbeh, Fotios Spyridonis, Gheorghita Ghinea
Summary: The study introduces a new authentication process utilizing olfactory data as cues in the login phase. By developing the PassSmell application that combines words and olfactory media as passwords, it demonstrates the potential of olfactory authentication in future applications.
ACM TRANSACTIONS ON APPLIED PERCEPTION
(2021)
Editorial Material
Biology
Shravan Pradeep, Paulo E. Arratia
Summary: A new model has been developed to predict the conditions under which a bacterial species will transition to a static lifestyle.