Article
Astronomy & Astrophysics
Tarun Dipanshu, Tarun Souradeep, Shriya Hirve
Summary: This paper presents a novel method for measuring the statistical isotropy of the cosmic microwave background radiation; a new set of angular correlation functions quantifying nonstatistical isotropic features on a 2D sphere is derived; these observable quantifications provide a compact and complementary way to assess deviations from statistical isotropy.
ASTROPHYSICAL JOURNAL
(2023)
Article
Mathematics
Radko Mesiar, Andrea Stupnanova
Summary: Novel concepts of directional shift stability for n-ary functions acting on [0,1](n) are introduced in this paper, extending the standard shift invariantness and can also be viewed as a specific type of local linearity. The article also provides several examples and a comprehensive characterization of directionally shift-stable aggregation and pre-aggregation functions for the case of n=2.
Article
Mechanics
Eytan Meisner, Mariano Galvagno, David Andrade, Dan Liberzon, Raphael Stuhlmeier
Summary: We have developed a new deterministic forecasting methodology for ocean surface waves using nonlinear frequency corrections. These corrections, pre-computed based on measured energy density spectra, do not require additional computational cost compared to linear theory. The methodology outperforms linear forecasts consistently, as demonstrated in testing with highly nonlinear synthetically generated seas of varying average steepness and directional spreading.
Article
Acoustics
Levi H. Manring, John F. Schultze, Sandra J. Zimmerman, Brian P. Mann
Summary: This paper presents a new method for matching the dominant features of Frequency Response Functions (FRFs). The method involves slicing and shifting the baseline FRF to compare its key features with a similar FRF using cross-correlation and a Log-Frequency Shift (LFS). The paper also introduces a Phase Similarity Metric (PSM) for comparing the phases of two FRFs. Experimental results with a cantilever beam demonstrate the effectiveness of the proposed method.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Materials Science, Multidisciplinary
Sheng Cheng, Yang Jiao, Yi Ren
Summary: This paper addresses the challenge of identifying complete, concise, and explainable quantitative microstructure representations for disordered heterogeneous material systems. It proposes a representation composed of three-point correlation functions and demonstrates that a concise subset of three-point correlations can characterize various microstructures. Bayesian optimization is used to identify such subsets from a small microstructure dataset. The proposed representation allows for the computation of material properties and the construction of predictive structure-property models with significantly less data and lower computational cost compared to purely data-driven and physics-based methods.
Article
Mathematics, Applied
Natalia Accomazzo, Francesco di Plinio, Paul Hagelstein, Ioannis Parissis, Luz Roncal
Summary: This article proposes a novel framework for square function estimates based on the directional embedding theorem for Carleson sequences and multiparameter time-frequency analysis techniques. Sharp or quantified bounds for square functions of conical multipliers and multipliers adapted to rectangles pointing along N directions are proven. Furthermore, a new logarithmic bound for the Fourier restriction to an N-gon is derived, and previously unknown weighted estimates for directional maximal functions and singular integrals in the weighted setting are obtained.
Article
Physics, Multidisciplinary
Matteo Carrega, Joonho Kim, Dario Rosa
Summary: In this study, a non-equilibrium dynamics induced by strongly correlated Hamiltonians with all-to-all interactions is explored through a Sachdev-Ye-Kitaev (SYK)-based quench protocol. It is shown that the time evolution of simple spin-spin correlation functions is sensitive to the degree of k-locality of the corresponding operators, providing a tool to distinguish between operator-hopping and operator growth dynamics, which are indicative of quantum chaos in many-body quantum systems. This observation could be utilized as a promising method to probe chaotic behavior in advanced quench setups.
Article
Mathematics, Applied
Junsheng Qiao
Summary: This paper presents the basic properties of directional monotonic fuzzy implication functions and proposes construction methods. The concept of (G, N)-operations is introduced based on binary functions G and fuzzy negations N, and the conditions for (G, N)-operations to be directional monotonic fuzzy implication functions are investigated when using directional increasing quasi-grouping functions g.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Xiaochao Zhao, Fang Xu, Yi Ma, Zhen Liu, Min Deng, Umer Sadiq Khan, Zenggang Xiong
Summary: In this paper, a simple and effective dynamic texture descriptor is proposed, which inherits the advantages of LBP while excluding its disadvantages. The proposed method extracts features from gradients using random projection and encodes them into integer codes. The effectiveness and efficiency of the proposed method are demonstrated through experiments on multiple benchmark datasets.
Article
Physics, Multidisciplinary
Marina V. Karsanina, Kirill M. Gerke
Summary: Depending on the spatial distribution of mass or phases within the studied materials, they can be classified into two distinct property types: stationary and non-stationary. Stochastic reconstruction with simulated annealing and correlation functions is a powerful technique to produce material structural images from limited input data. The degree of stationarity of the stochastic reconstructions had a significant influence on the physical properties of the reconstructed binary structures, showing different degree of anisotropy and off-diagonal terms values depending on the reconstruction parameters. The proposed approach to produce non-stationary structures from ensemble averaged set of correlation functions opens numerous ways to attack theoretical and practical problems with natural and artificial materials with statistically inhomogeneous structure.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Nanoscience & Nanotechnology
Yixuan Ming, Md Joynal Abedin, Svetlana Tatic-Lucic, Yevgeny Berdichevsky
Summary: This study demonstrates a PDMS-based device that achieves directional connectivity between micro 3D cell cultures, which has the potential to serve as a building block for the reconstruction of more complex cortical circuits in vitro.
MICROSYSTEMS & NANOENGINEERING
(2021)
Article
Geochemistry & Geophysics
Francois Bonneau, Dietrich Stoyan
Summary: This paper proposes a second-order statistical theory to characterize the inner variability of fracture networks in 2D. The theory utilizes marked point process theory to treat fracture barycenters as points and fracture lengths and orientations as marks. It employs pair-correlation and mark-correlation functions to describe fracture network variability based on oriented distances between object centers. The application of these ideas on three fracture networks demonstrates their effectiveness.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Business, Finance
Christian M. Hafner, Helmut Herwartz
Summary: This paper proposes an extension to correlation impulse response functions (CIRF) based on a multivariate GARCH modeling framework. We find that CIRF and corresponding covariance impulse response functions can react differently and even move in opposite directions to a given shock. Due to nonlinearity, there is no analytical form available for CIRF, but we propose a straightforward algorithm to numerically estimate it. In an empirical application, we focus on the impact of the change in Ethereum's consensus protocol in 2022 on its correlation with Bitcoin.
FINANCE RESEARCH LETTERS
(2023)
Article
Astronomy & Astrophysics
Jiamin Hou, Robert N. Cahn, Oliver H. E. Philcox, Zachary Slepian
Summary: This study derives analytic covariance matrices for the N-point correlation functions of galaxies in the Gaussian limit and compares the results with simulated data. The findings suggest that the analytic formalism provides reasonable predictions for the covariances estimated from simulated data and that fitting for an effective volume and number density can compensate for nonuniform window function effects.
Article
Computer Science, Artificial Intelligence
Thyago Celso C. Nepomuceno, Victor Diogho H. de Carvalho, Kessia Thais C. Nepomuceno, Ana Paula C. S. Costa
Summary: For strategic reasons, benchmarking best practices from efficient competitors is not common in DEA applications. This study proposes a time-series adaptation of the DEA directional model as an alternative to address this problem and suggests a three-stage approach for benchmarking.
Article
Engineering, Civil
Dirk Mallants, Rebecca Doble, Yousef Beiraghdar
Summary: The study developed a framework to estimate the chemical dilution associated with accidental leakage of chemicals used for shale and tight gas extraction in Australia. By taking into account key landscape parameters, the study aims to improve the efficiency of quantitative impact assessments of risks to water and the environment.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Dirk Mallants, Jason Kirby, Lisa Golding, Simon Apte, Mike Williams
Summary: The study explored the natural attenuation potential of formation-derived compounds in flowback water from shale gas operations in deep unsaturated zones and groundwater. Results showed that except for salinity and radium-228 in one well, the risk quotient for all other chemicals was less than 1, indicating no concern for ecosystem health.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Physical
Junfang Zhang, Dirk Mallants, Patrick V. Brady
Summary: This study investigated the adsorption behavior of hydrated uranyl ions on clay mineral smectite in the presence of sodium and carbonate ions using Molecular Dynamics Simulations (MDS). Various polynuclear uranyl carbonate complexes were found to form on the clay surface and in aqueous solution, and the adsorption of uranyl ions was dependent on the pore size. MDS-derived adsorption parameters were in agreement with experimental values, indicating the efficiency of MDS in safety assessments, especially in the early stages of site selection and characterization.
APPLIED CLAY SCIENCE
(2022)
Article
Energy & Fuels
Jingyu Shi, Baotang Shen, Manoj Khanal, Dirk Mallants
Summary: This paper introduces large-diameter, deep borehole disposal as a potential solution for small volumes of long-lived intermediate-level waste (ILW). Analytical and numerical methods are used to predict the fracturing region around the disposal borehole, and the results show that considering stress dynamics further weakens the surrounding rock. Borehole stability analysis is essential for safe drilling operations and the selection of suitable waste disposal zones.
Article
Geochemistry & Geophysics
Kaveh Sookhak Lari, Dirk Mallants
Summary: This study investigates the influence of waste heat load on radionuclide migration in deep disposal boreholes. The results show a direct correlation between waste heat output and calculated radioactivity at a near-surface observation point. Additionally, the impact of convection-driven transport on radionuclide migration is found to be minimal, due to the short duration of the heat load. The study also highlights the sensitivity of radiation dose at the observation point to the effective diffusion parameter of the host rock.
Article
Water Resources
T. Boas, D. Mallants
Summary: This study estimated groundwater recharge in data sparse regions under arid climate using a multi-model approach. The results showed that only rainfall events of more than 150-200 mm resulted in groundwater recharge, which was linked to extreme rainfall associated with monsoonal cyclones. The average recharge for the savanna-type vegetation was 4.6 mm/year, while the bare soil had an average recharge of 29.5 mm/year.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Water Resources
Nickolay M. Evstigneev, Oleg I. Ryabkov, Kirill M. Gerke
Summary: This paper presents a high efficiency Stokes solver for incompressible flow in porous media. The solver utilizes a fast algebraic multigrid method on graphics processing units (GPUs) to reduce memory usage and accelerate computation. A simple MAC-type staggered finite difference discretization is used, and a coupled Stokes saddle-point type system is directly solved on a GPU. The method includes topological domain analysis on a GPU to remove isolated volumes with no flow. Various types of boundary conditions and efficient parallel strategies for GPUs are considered. The method is extensively benchmarked against analytical solutions and applied problems from digital rock physics. The results demonstrate the effectiveness and efficiency of the proposed method.
ADVANCES IN WATER RESOURCES
(2023)
Article
Soil Science
Dmitriy S. Fomin, Anna Yudina, Konstantin A. Romanenko, Konstantin N. Abrosimov, Marina Karsanina, Kirill M. Gerke
Summary: Through detailed X-ray microtomography imaging study, we revealed the dynamics of soil pore structure under slow water changes for Albic Retisols. By using binary pore-solid segmentations, we were able to visualize structural dynamics and compute major morphological metrics. Contrary to previous findings for compacted soils, our analysis showed that the studied soil degraded after the wetting-drying cycle.
Review
Geochemistry & Geophysics
C. Wilske, A. Suckow, C. Gerber, A. Deslandes, P. Crane, D. Mallants
Summary: Noble gases are commonly used to study fluid inclusions in minerals for understanding rock formation processes. Heating and crushing are the main methods for extracting noble gases from fluid inclusions. This review focuses on different ultravacuum crushing techniques for noble gas analysis, including technical details, operational conditions, and sample preparation methods.
Article
Engineering, Civil
Rebecca Doble, Dirk Mallants, Cameron Huddlestone-Holmes, Luk J. M. Peeters, James Kear, Chris Turnadge, Bailin Wu, Saskia Noorduijn, Elaheh Arjomand
Summary: This study evaluated the potential impact of integrity failure in gas wells, water bores, and exploration drillholes on groundwater resources. The results showed that high flow leaky gas wells are unlikely to have a significant effect on hydrogeology, while repurposing abandoned coal exploration drillholes or petroleum bores as water bores may deplete or contaminate connected aquifers. However, current regulations in Australia make this scenario highly unlikely. Further research is needed to determine the failure rates of gas wells, water bores, and exploration drillholes in Australian conditions to better understand the potential risks associated with leaking infrastructure.
JOURNAL OF HYDROLOGY
(2023)
Article
Geochemistry & Geophysics
Julien Bourdet, Claudio Delle Piane, Cornelia Wilske, Dirk Mallants, Axel Suckow, Danielle Questiaux, Christoph Gerber, Punjehl Crane, Alec Deslandes, Laure Martin, Matvei Aleshin
Summary: Natural hydrogen has the potential to be an important low-carbon fuel and energy source. However, our understanding of its generation, migration, and accumulation in the subsurface is still limited. Recent evidence suggests that natural hydrogen is widely present in various geological settings, making them potential targets for exploration.
Article
Engineering, Civil
Nasrin Azad, Javad Behmanesh, Vahid Rezaverdinejad, Habib Khodaverdiloo, Sally E. Thompson, Dirk Mallants, Tiago B. Ramos, Hailong He
Summary: This study assessed the performance of convolutional neural networks in modeling nitrate uptake by maize and estimating nitrate losses in surface drip irrigation. The results showed that CNN can be widely used in optimization of fertigation management.
JOURNAL OF HYDROLOGY
(2023)
Article
Physics, Fluids & Plasmas
Aleksei Samarin, Vasily Postnicov, Marina V. Karsanina, Efim V. Lavrukhin, Dina Gafurova, Nikolay M. Evstigneev, Aleksey Khlyupin, Kirill M. Gerke
Summary: Correlation functions (CFs) are structural descriptors and surface-surface (Fss) CFs and surface-void (Fsv) CFs provide additional information about the interface between phases. A method to compute these functions using edge-detecting filters in digital images is proposed. The developed digital approach allows for the analysis and enhancement of porous materials based on experimental images.
Article
Physics, Fluids & Plasmas
Andrey S. Zubov, Dmitry A. Murygin, Kirill M. Gerke
Summary: The pore-network extraction algorithm based on discrete Morse theory and persistent homology for binary 3D images is a method that can preserve the topological features of pore structure. By calculating and comparing the characteristics of extracted pore networks for multiple 3D porous binary images, the effectiveness of the method is demonstrated.
Article
Water Resources
David Rassam, J. Sreekanth, Dirk Mallants, Dennis Gonzalez, Rebecca Doble, Trevor Pickett
Summary: This study proposes a stochastic numerical-analytical hybrid model to assess the risks associated with onshore gas drilling in the Otway Basin. The model couples HYDRUS-1D with an analytical solution to simulate contaminant transport in the aquifer. The results show that only a small portion of the chemicals reached the environmental receptors, with concentrations below 1% of the source.
FRONTIERS IN WATER
(2022)
