Article
Physics, Fluids & Plasmas
Narender Khatri, P. S. Burada
Summary: We study the diffusion behavior of chiral active Brownian particles in a two-dimensional microchannel with Poiseuille flow. The behavior of transport coefficients strongly depends on flow strength, diffusion constant, rotational diffusion rate, and chirality of the particles. It is demonstrated that the particles can exhibit upstream drift and the direction of drift can be controlled by tuning these parameters. Furthermore, chiral particles aggregate near channel walls for some optimal values, leading to enhanced effective diffusion coefficient.
Article
Multidisciplinary Sciences
Toshinobu Takahashi, Erika Okita, Daigo Yamamoto, Yasunao Okamoto, Akihisa Shioi
Summary: The phenomenon of generating horizontal rotation of a gear motor through vibration of granular matter is reported. The direction of rotation depends on factors such as granule diameter, vibration frequency, and vertical motion allowed for the gear. Despite its complexity, this dependency is deterministic as it is determined by the motion of the granular matter.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Environmental
Eric Michel, Marie-Christine Neel, Yvan Capowiez, Stephane Sammartino, Francois Lafolie, Pierre Renault, Celine Pelosi
Summary: This paper aims to highlight the limitations of using sediment reworking models in soil research, identify how recent advancements in aquatic ecology can help overcome these limitations, and propose key steps to ensure more accurate models for organic matter turnover, soil evolution, and contaminant transport in soil.
Article
Mechanics
Gaia Pozzoli, Benjamin De Bruyne
Summary: We studied the transport properties of a one-dimensional Brownian motion with partially absorbing traps. We found that the environment enhances diffusion when the number of traps is finite, while it inhibits diffusion when there are an infinite number of traps.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2022)
Article
Physics, Fluids & Plasmas
J. Spiechowicz, J. Luczka
Summary: This study revisited the paradigmatic model of inertial Brownian particles diffusing in a tilted periodic potential using state-of-the-art computer simulations. The results indicate that in the parameter regime where the particle velocity is bistable, an everlasting ballistic diffusion emerges when the thermal noise intensity tends to zero, resulting in the diffusion coefficient not reaching its stationary constant value.
Article
Mechanics
Kang He, Huabin Shi, Xiping Yu
Summary: The effects of interstitial water on the collapse of partially immersed granular columns were investigated experimentally and numerically. It was found that the interstitial water generally speeds up the collapse of coarse-grain columns but slows down the motion of fine-particle columns. The particle-fluid two-phase model used in the study validated the experimental results and clarified the roles of drag force and pressure gradient force in the collapse of both coarse- and fine-grain columns.
Article
Chemistry, Physical
Maxim F. Gelin, Raffaele Borrelli, Lipeng Chen
Summary: The study demonstrates that a broad class of quantum models can be equivalently mapped into a bilinear system-bath momentum coupling. This new methodology allows for the treatment of the Hamiltonian with bilinear system-bath momentum coupling using the hierarchical equations-of-motion (HEOM) method, enabling the examination of a new family of nonlinear quantum systems with numerical accuracy.
JOURNAL OF PHYSICAL CHEMISTRY B
(2021)
Article
Chemistry, Physical
Andreas M. Menzel
Summary: This study focuses on the spontaneous symmetry breaking of the direction of active drive in propulsion of passive objects. By investigating examples such as self-propelled droplets, gliding bacteria, and nonpolar vibrated hoppers, the study reveals that under constant active forcing, there are velocity distributions with multiple peaks and spatial statistics showing outward propagating maxima.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Chemistry, Physical
Amael Obliger
Summary: By starting from orthogonal dynamics, a set of coupled Volterra equations can be obtained to describe the projected time correlation functions between variables of interest. These equations can be solved using standard numerical inversion methods, providing a convenient and efficient approach to obtain projected time correlation functions or contributions to the memory kernel in a generalized Langevin equation.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Riley J. Preston, Maxim F. Gelin, Daniel S. Kosov
Summary: Theoretical frameworks combining various methods were utilized in this study to develop a reaction-rate theory for current-activated chemical reactions, which was later applied to different transport scenarios. The natural emergence of Landauer's blowtorch effect was demonstrated as a result of the interplay between configuration-dependent viscosity and diffusion coefficients, with localized heating and bond deformations due to current-induced forces being determining factors in chemical reaction rates within the system.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Physics, Fluids & Plasmas
Yuhui Luo, Chunhua Zeng, Tao Huang, Bao-Quan Ai
Summary: This study examines the effect of stochastic resetting on particle transport in a chaotic system and reveals the underlying physical mechanism for the anomalous transport. The results show that the particle is reset to a new basin of attraction and a new energy state, leading to a kinetic phase transition in transport. The roughness and noise also contribute to this transition. These findings have implications for various fields such as biology, physics, chemistry, and social systems.
Article
Multidisciplinary Sciences
Sergi G. Leyva, Ralph L. Stoop, Ignacio Pagonabarraga, Pietro Tierno
Summary: In this study, we demonstrate the significant impact of the dispersing medium on the collective dynamics of interacting Brownian particles in a ratchet transport system. The long-range hydrodynamic interactions (His) result in a speed-up effect, leading to a higher translational speed and the formation and growth of clusters perpendicular to the driving direction. This research sheds light on the role of the dispersing medium in the dynamics of driven colloidal matter and the morphology of clusters.
Article
Physics, Fluids & Plasmas
Kristian Stolevik Olsen
Summary: This study investigates the nonequilibrium steady state arising from stochastic resetting to a distribution. It is shown that for a range of processes, the steady-state moments can be expressed as a linear combination of the moments of the resetting position distribution. The coefficients of this series are universal and only dependent on the underlying dynamics, regardless of the resetting distribution. The study focuses on Brownian particles and run-and-tumble particles confined in a harmonic potential, providing explicit closed-form expressions for all moments for any resetting distribution, which are verified through numerical simulations.
Article
Mathematics, Interdisciplinary Applications
Maike A. F. dos Santos, Luiz Menon Junior
Summary: This paper proposes two diffusion models for SBM with random diffusivity and shows the main features of each model through thorough analysis of simulation results. The first model is suitable for systems with consistently non-Gaussian diffusion, while the second model is suitable for systems with a transition from non-Gaussian to standard Gaussian processes.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Astronomy & Astrophysics
Nathan G. Caldeira, Eduardo Folco Capossoli, Carlos A. D. Zarro, Henrique Boschi-Filho
Summary: This study investigates the fluctuations and dissipation of a string in a deformed AdS-Schwarzschild spacetime, calculating various quantities such as admittance, diffusion coefficient, two-point functions, and mean square displacement. The researchers also confirmed the fluctuation-dissipation theorem within this holographic model.
Article
Multidisciplinary Sciences
Yang Chen, Stijn Hantson, Niels Andela, Shane R. Coffield, Casey A. Graff, Douglas C. Morton, Lesley E. Ott, Efi Foufoula-Georgiou, Padhraic Smyth, Michael L. Goulden, James T. Randerson
Summary: This study develops a novel object-based system to track individual wildfires using satellite data, improving our understanding and quantification of wildfire spread, behavior, and impacts. The system successfully mapped the history of California wildfires from 2012 to 2020.
Article
Geosciences, Multidisciplinary
Jayaram Hariharan, Anastasia Piliouras, Jon Schwenk, Paola Passalacqua
Summary: River deltas are complex channel networks that play a crucial role in conveying matter to the shoreline. Remote sensing data is used to estimate flow distribution within these channels. The study suggests that discharge partitioning based on average channel width is universally applicable.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Clement Guilloteau, Efi Foufoula-Georgiou, Pierre Kirstetter, Jackson Tan, George J. Huffman
Summary: This study proposes a spectral error model for satellite precipitation estimation, which takes into account the multiscale dynamics of neighboring space-time. The empirical analysis shows that systematic filtering plays an important role in the error of IMERG product, highlighting the significance of considering filtering effects in high-resolution satellite precipitation products.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Environmental Sciences
A. J. Chadwick, E. Steel, P. Passalacqua, C. Paola
Summary: Successful management of flooding and erosion hazards depends on predicting river channel shape and flow duration. Unlike single-thread channels, braided channels do not exhibit a balance between bank erosion and accretion, causing individual threads to widen and infill until they are abandoned. Threshold channel theory accurately predicts thread width.
WATER RESOURCES RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Kyle Wright, Paola Passalacqua, Marc Simard, Cathleen E. Jones
Summary: Hydrodynamic models are essential but limited in practical application in coastal environments. This study presents a method using remote sensing data to improve the models and reduce computational demand by embedding landscape connectivity information. The results show that this method decreases computational demand without sacrificing accuracy.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Ryan Sincavage, Man Liang, Jennifer Pickering, Steven Goodbred, Paola Passalacqua
Summary: Favorable topographic gradients and channel bed aggradation are often cited as primers for river channel avulsion. However, a localized backwater effect from a seasonal lake that forms in Sylhet Basin, known as a hydraulic barrier, is not a plausible mechanism for channel steering unless water depths are increased beyond the physical dimensions of the basin. The introduction of a scoured antecedent channel along the western margin induces a strong preference for bypass of the central basin.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Environmental Sciences
Zhongyuan Xu, Jayaram Hariharan, Paola Passalacqua, Elisabeth Steel, Austin Chadwick, Chris Paola, Anner Paldor, Holly A. Michael
Summary: This study investigates the vulnerability of coastal deltaic aquifers to seawater intrusion, contamination, and groundwater abstraction, as well as the impact of surface deposition changes on the distribution and transport of groundwater solutes. By simulating groundwater flow and solute transport under different contamination scenarios, the research reveals that the vulnerability of deltaic aquifers to seawater intrusion is correlated with sand fraction, and vertical transport of contaminants is influenced by channel stacking patterns.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Carmine Donatelli, Paola Passalacqua, Kyle Wright, Gerard Salter, Michael P. Lamb, Daniel Jensen, Sergio Fagherazzi
Summary: Deltas are threatened by sea-level rise, sediment starvation, and subsidence. Remote sensing can be used to estimate flow velocities in deltas by leveraging the synoptic information offered by the technology. This approach provides a more comprehensive understanding of the spatiotemporal variability in flow velocity, which is crucial for forecasting the fate of these fragile ecosystems.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
L. Vulis, A. Tejedor, H. Ma, J. H. Nienhuis, C. M. Broaddus, J. Brown, D. A. Edmonds, J. C. Rowland, E. Foufoula-Georgiou
Summary: In this study, a novel multiscale characterization of shorelines is introduced, which explains the relative influence of fluvial, wave, and tidal processes on delta formation and evolution. The characterization method automatically divides deltas into morphologically similar classes, known as delta morphotypes, and predicts the dominant forcing of each class. The study also shows the consistency between the inferred dominant forcings from shoreline structure and the estimated sediment fluxes, while recognizing the deviations caused by spatiotemporal heterogeneity in sediment fluxes.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Zhongyuan Xu, Mahfuzur R. Khan, Kazi Matin Ahmed, Anwar Zahid, Jayaram Hariharan, Paola Passalacqua, Elisabeth Steel, Austin Chadwick, Chris Paola, Steven L. L. Goodbred Jr, Anner Paldor, Holly A. Michael
Summary: Groundwater is the primary water source in the Bengal Delta, but it is under threat from contamination. By using surface information to model subsurface features, the predictions of groundwater flow can be improved. The land surface features in active deltas play a significant role in evaluating groundwater vulnerability to contamination.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2023)
Article
Geosciences, Multidisciplinary
Carmine Donatelli, Paola Passalacqua, Daniel Jensen, Talib Oliver-Cabrera, Cathleen E. Jones, Sergio Fagherazzi
Summary: Water movement in coastal wetlands is influenced by topography, vegetation characteristics, and hydrological processes. This study utilizes remote sensing data to analyze water-level changes and vegetation contributions in marshes, revealing the importance of small geomorphic features and the minor role of vegetation in water retention.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2023)
Article
Water Resources
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, Stephen Boyles
Summary: Government and non-governmental agencies are making efforts to quantify the disproportionate effects of climate risk on vulnerable populations and create more resilient communities. This study addresses the limitation of using sociodemographic based indices to measure vulnerability and proposes a model based on open-source data to assess individuals' access to critical resources during and after a flood event. The results show that the most vulnerable households are the least resilient and experience the largest shifts in metric values, while the least vulnerable quarter of the population carries the smallest burdens. The model developed can assist emergency planning stakeholders in identifying households that require specific resources in real-time.
FRONTIERS IN WATER
(2023)
Article
Geosciences, Multidisciplinary
Runze Li, Clement Guilloteau, Pierre-Emmanuel Kirstetter, Efi Foufoula-Georgiou
Summary: Understanding the nature and origin of errors in satellite precipitation products is important for applications and product improvement. A new error decomposition scheme is proposed to characterize satellite errors, attributing errors to the inaccuracies in event occurrence, timing, and intensity. The study applies the method to a test product and finds that the listed factors contribute differently to the total bias and errors are asymmetric in the temporal distribution throughout events. This error decomposition scheme provides insight into sources of error for improved retrievals.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Green & Sustainable Science & Technology
R. Patrick Bixler, Marc Coudert, Steven M. Richter, Jessica M. Jones, Carmen Llanes Pulido, Nika Akhavan, Matt Bartos, Paola Passalacqua, Dev Niyogi
Summary: The growing frequency and intensity of extreme weather events have disproportionately impacted underserved, underrepresented, and marginalized communities in urban areas. Knowledge co-production is an approach that seeks to address this issue by involving these communities in sustainability and resilience research. This paper presents a reflexive co-production framework and assesses three initiatives in Austin, Texas, USA, to enhance urban resilience. The authors establish criteria to evaluate co-production and conclude with recommendations for advancing reflexive co-production.
FRONTIERS IN SUSTAINABLE CITIES
(2022)
Article
Geosciences, Multidisciplinary
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, Julian Hofmann
Summary: The increased interest in merging compound flood hazards and social vulnerability has led to advancements in flood impact mapping. However, the current methods to estimate event-specific compound flooding at the household level require high-performance computing resources that are often not available to local stakeholders. In this study, a methodology is developed to generate a flood impact index at the household level in near-real time, using high-resolution elevation data and a social vulnerability index. The methodology is tested using the 2015 Memorial Day flood in Austin, Texas, and is shown to accurately classify household impacts for a majority of households.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
