Article
Physics, Fluids & Plasmas
F. C. B. Leal, M. A. F. Gomes
Summary: This paper reports experiments that measure the stress-strain relation of crumpled surfaces, and it shows the coexistence of phases during stretching. The study also investigates stress fluctuations and analyzes the statistical distribution of force peaks, revealing that the unpacking of crumpled sheets is guided by a hierarchical order of ridges.
Article
Chemistry, Physical
Yangchao Liao, Zhaofan Li, Fatima, Wenjie Xia
Summary: This study investigates the structural behaviors of crumpled graphene, revealing that larger graphene sheets tend to be more self-adhering and self-folding, forming highly crumpled structures with better packing efficiency. The size-dependence of various structural properties of crumpled graphene sheets can be quantitatively described by power-law scaling relationships. The overall crumpling behaviors of graphene sheets can be characterized by three different regimes associated with edge-bending, self-adhesion, and further compression mechanisms.
Article
Physics, Fluids & Plasmas
Yumino Hayase, Hitoshi Aonuma, Satoshi Takahara, Takahiro Sakaue, Shun'ichi Kaneko, Hiizu Nakanishi
Summary: By using microcomputed tomography (micro-CT), we investigated the internal structure of crumpled papers and found their self-similarity, determining the fractal dimensions of paper sheets, cellophane sheets, and aluminium foils. Through reconstructed 3D data, various power laws for crumpled square sheets were examined to analyze the fractal dimensions of the internal structure.
Article
Multidisciplinary Sciences
Jovana Andrejevic, Lisa M. Lee, Shmuel M. Rubinstein, Chris H. Rycroft
Summary: The research shows that confined thin sheets crumple into flat facets delimited by ridges, exhibiting reproducible statistical properties despite apparent disorder. Experimental evidence suggests total crease length grows logarithmically when repeatedly compacting and unfolding a sheet. A feedback loop model is proposed to explain the evolution of facet area and ridge length distributions during crumpling.
NATURE COMMUNICATIONS
(2021)
Article
Materials Science, Multidisciplinary
T. Prakash, D. Murugesan, K. Moulaee, G. Neri, S. Srimala
Summary: CdO crumpled sheets were synthesized by microwave-assisted irradiation in alkaline solutions of NH4OH and NaOH, respectively, with the presence of a surfactant. The morphology of CdO samples was characterized by SEM and TEM. XRD analysis revealed the crystalline phases of CdO formed during synthesis and annealing at 300°C. The CdO nanostructures prepared using NH4OH showed superior sensitivity to NO2, with detection even at a low concentration of 0.14 ppm, and excellent selectivity compared to the CdO sample prepared using NaOH.
MATERIALS RESEARCH BULLETIN
(2023)
Article
Computer Science, Interdisciplinary Applications
Jovana Andrejevic, Chris H. Rycroft
Summary: This work presents a method for simulating the deformation and crumpling of thin, elastoplastic sheets. Two different formulations, quasistatic and dynamic, are used to describe the motion of the sheets. The method shows effectiveness in simulating various crumpling phenomena and is consistent with experimental observations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Chemistry, Physical
Theresa Elder, Andrew B. Croll
Summary: This study demonstrates a simple and roughness tolerant adhesive system by crumpling thin polymer sheets into a spherical shape. Experimental results show that sticky crumples perform better on long wavelength roughness, and coating a glassy polymer polycarbonate sheet with adhesive improves the peak pull-off forces.
Article
Physics, Multidisciplinary
Andronikos Loukidis, Jennifer Perez-Oregon, Ermioni D. Pasiou, Nicholas Sarlis, Dimos Triantis
Summary: The study shows that the scaled distributions of the variance kappa(1) of natural time chi exhibit a characteristic exponential tail similar to that observed in equilibrium and non-equilibrium critical systems as well as seismic activities. The findings suggest that kappa(1) can be used as an order parameter for acoustic events preceding failure, similar to seismicity.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Andronikos Loukidis, Ilias Stavrakas, Dimos Triantis
Summary: In this study, the acoustic emission (AE) data during uniaxial compressive loading of prismatic marble specimens were analyzed using non-extensive statistical mechanics (NESM). The relationship between the q entropic indices and the beta(q) parameters in terms of the applied stress was studied. The possible non-monotonicity between q and beta(q) was investigated for its potential association with damage accumulation and final fracture.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Carlos Velarde, Alberto Robledo
Summary: The investigation reveals that there is a formal equivalence between a stochastic approach for ranked data and trajectories at the tangent bifurcation. Based on this, a nonlinear dynamical approach is proposed for rank distributions, showing similarities with universality classes in critical phenomena. Moreover, it is found that there is a link between the ranked distributions and number sets.
Article
Green & Sustainable Science & Technology
Marco Caniato, Luca Cozzarini, Chiara Schmid, Andrea Gasparella
Summary: High plastic consumption worldwide leads to substantial waste production, with marine litter especially difficult to retrieve. This article introduces an eco-friendly foam made of waste microplastics, showcasing its excellent acoustic and thermal insulation properties. New recycling methods for marine litter are urgently needed to address the growing environmental issue.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2021)
Article
Energy & Fuels
Chung-Ting Tsai, Yi-Cheng Wu, Yu-Tse Lin, Mao-Sung Wu
Summary: Chemical exfoliation and unzipping of graphitic mesocarbon microbeads can lead to the formation of bone-like aggregates of graphene oxide. Different treatments can result in partially reduced GO fragments with hydrophobic sheets or sulfur-doped and reduced GO with a worm-like shape. The sulfur-doped GO exhibits enhanced charge-storage properties due to its high hydrophilicity, electrical conductivity, and unique worm-like configuration. It has higher pseudocapacitive charge-storage capacity and better rate performance compared to the other two types of electrodes.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Materials Science, Multidisciplinary
Francisco Alister, Diego Celentano, Emanuel Nicoletti, Javier Signorelli, Pierre-Olivier Bouchard, Daniel Pino, Christophe Pradille, Marcela Cruchaga
Summary: The elastoplastic behavior of Zn20 alloy sheets is characterized using a methodology that includes experiments, modeling, and numerical simulations. Different tests and models are used to describe and validate the material behavior under various loading conditions, leading to a robust model for the elastoplastic response of the alloy sheets.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2022)
Article
Physics, Multidisciplinary
Andronikos Loukidis, Dimos Triantis, Ilias Stavrakas
Summary: Non-extensive statistical mechanics, based on non-additive entropy, is applied to study fracture mechanisms and crack evolution in mechanically loaded brittle materials. Analysis of acoustic emission data indicates the potential use of entropic index as a pre-failure indicator for impending catastrophic fracture.
Article
Geochemistry & Geophysics
Jie Shao, Yibo Wang, Ling Chen
Summary: This study investigates the near-surface characterization using high-speed train seismic data recorded by DAS. The results demonstrate the effectiveness and reliability of DAS-based acquisition and data analysis in near-surface characterization using the high-speed train type of moving sources.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Physics, Multidisciplinary
M. K. Lenzi, E. K. Lenzi, L. M. S. Guilherme, L. R. Evangelista, H. V. Ribeiro
Summary: In this study, we investigated a diffusion process in heterogeneous media with stochastic resetting to initial positions at a constant rate. Exact solutions for the probability distribution and mean square displacement of particles' positions were obtained using the Green function approach, which were compared with numerical simulations. The system exhibited non-Gaussian distributions, transient anomalous diffusion, and stationary states depending on media heterogeneity and resetting rate, with media heterogeneity affecting the mean first-passage time and yielding an optimal resetting rate with a minimum value for this quantity.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Arthur A. B. Pessa, Matjaz Perc, Haroldo Ribeiro
Summary: This paper proposes an information-theoretical approach combined with machine learning to automatically cluster different types of behaviors in the motion of free-falling paper. The method evaluates permutation entropy and statistical complexity from time series data captured by a video camera, allowing accurate discrimination between chaotic and tumbling motions. The proposed approach performs comparably to other physical-based methods but does not require reconstructing the three-dimensional trajectory.
Article
Multidisciplinary Sciences
Jack Sutton, Golnaz Shahtahmassebi, Haroldo Ribeiro, Quentin S. Hanley
Summary: This study investigated the COVID-19 cases and deaths in local authority regions in England and Wales and found that residual variance and skewness were sensitive indicators of the disease propagation dynamics. Lockdowns and schools reopening led to increased variance, while university reopening and holidays reduced the variance. Homogeneous propagation was associated with normally distributed residuals, while heterogeneous propagation was more consistent with skewed models. Skewness revealed an unappreciated feature of community propagation.
Article
Multidisciplinary Sciences
Alvaro F. Martins, Bruno R. da Cunha, Quentin S. Hanley, Sebastian Goncalves, Matjaz Perc, Haroldo Ribeiro
Summary: This study investigated corruption networks related to political scandals in Spain and Brazil and found that these networks shared common structural and dynamical properties. The authors also proposed a simple model that demonstrated how corruption networks operate near a critical recidivism rate.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Fluids & Plasmas
Ervin K. Lenzi, Aloisi Somer, Rafael S. Zola, Luciano R. da Silva, Marcelo K. Lenzi
Summary: In this study, the solutions of a generalized diffusion-like equation are investigated, taking into account spatial and time fractional derivatives as well as non-local terms. The Green function approach is used to obtain solutions and analyze the spreading of the system, revealing a diverse range of behaviors. The obtained results are also connected to anomalous diffusion processes.
Article
Thermodynamics
A. Somer, S. Galovic, E. K. Lenzi, A. Novatski, K. Djordjevic
Summary: We propose temperature distribution predictions for photothermal systems by extending the dual-phase lag approach. This extension incorporates fractional dual-phase lag from kinetic relaxation time into the GCE-II and GCE-III models. By solving a one-dimensional problem with planar and periodic excitation, we obtain the temperature distribution and Photoacoustic (PA) signal for transmission setups. Furthermore, we analyze the effects of fractional order derivatives and kinetic relaxation time. The derived models show promising results in explaining the experimentally observed behavior of PA signals measured on thin films with an inhomogeneous internal structure.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Mathematics, Interdisciplinary Applications
Aloisi Somer, Andressa Novatski, Marcelo Kaminski Lenzi, Luciano Rodrigues da Silva, Ervin Kaminski Lenzi
Summary: We accurately predict the contribution of thermoelastic bending to the Photoacoustic signal by analyzing an extension of the dual-phase lag model of thermal diffusion theory. Incorporating the effects of fractional differential operators, we determine the temperature distribution and accurately assess the thermoelastic effects in solid samples. This study emphasizes the importance of considering fractional differential operators in the analysis of thermoelastic bending and contributes to understanding the mechanisms behind the PA signal.
FRACTAL AND FRACTIONAL
(2023)
Article
Mathematics, Interdisciplinary Applications
Haroldo Ribeiro, Diego D. Lopes, Arthur A. B. Pessa, Alvaro F. Martins, Bruno R. da Cunha, Sebastian Goncalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaz Perc
Summary: Recent advances in deep learning have allowed researchers to develop algorithms for analyzing and modeling complex networks. This study explores the potential of graph convolutional networks in predicting various properties of criminal networks, and shows impressive accuracy in recovering missing partnerships, distinguishing types of associations, predicting monetary exchanges, and anticipating partnerships and recidivism in corruption networks. The deep learning models outperform shallow learning approaches and provide high-quality embeddings for node and edge properties. Additionally, the models inherit the advantages of the GraphSAGE framework, including generalization to unseen nodes and scalability for large graph structures.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Luiz R. Evangelista, Ervin K. Lenzi
Summary: We investigate the dynamics of a system composed of two different subsystems when subjected to different nonlinear Fokker-Planck equations by considering the H-theorem. We use the H-theorem to obtain the conditions required to establish a suitable dependence for the system's interaction that agrees with the thermodynamics law when the nonlinearity in these equations is the same. In this framework, we also consider different dynamical aspects of each subsystem and investigate a possible expression for the entropy of the composite system.
Article
Multidisciplinary Sciences
Andre S. S. Sunahara, Arthur A. B. Pessa, Matjaz Perc, Haroldo V. V. Ribeiro
Summary: This study investigates the COVID-19 pandemic in the city of Maringa, Brazil, and finds that despite prompt and robust interventions, cases increased exponentially during the early spread of the disease. Non-pharmaceutical interventions had a significant impact on controlling the pandemic, but the city's measures were primarily reactive. Maringa faced six waves of cases, with the third and fourth waves being the deadliest and overwhelming the local healthcare system. The study highlights the heterogeneities in the spread and impact of the disease compared to the national context and other similarly sized cities. Importance rating: 8 out of 10.
SCIENTIFIC REPORTS
(2023)
Article
Mathematics
Ervin Kaminski Lenzi, Luiz Roberto Evangelista, Luciano Rodrigues da Silva
Summary: We investigated two different approaches, fractional calculus and the extension of entropy concept, in order to extend standard quantum statistical mechanics. By using the thermal Green function formalism, we analyzed the dynamics and thermodynamics aspects of each case, examining how the extensions affect the behavior of system-related quantities, particularly fluctuations.
Article
Mathematics, Interdisciplinary Applications
Enrique C. Gabrick, Paulo R. Protachevicz, Ervin K. Lenzi, Elaheh Sayari, Jose Trobia, Marcelo K. Lenzi, Fernando S. Borges, Ibere L. Caldas, Antonio M. Batista
Summary: This paper proposed a numerical method to solve the fractional reaction-diffusion equation under different kernels and obtained general inequalities for stability conditions. The effectiveness of the method was validated through numerical examples.
FRACTAL AND FRACTIONAL
(2023)
Article
Engineering, Chemical
Wesley P. do Carmo, Alexandre F. Santos, Marcelo Kaminski Lenzi, Montserrat Fortuny, Ervin K. Lenzi
Summary: The objective of this study was to investigate and model the viscoelastic creep behavior of two Brazilian crude oils and their emulsions. The fractional model was able to accurately describe the experimental data.
DIGITAL CHEMICAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins, Sebastian Goncalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaz Perc, Haroldo Ribeiro
Summary: Recent research has shown that structural properties of criminal networks can be used to recover missing criminal partnerships, distinguish between different types of criminal and legal associations, and predict the total amount of money exchanged among criminal agents with outstanding accuracy. Additionally, this approach can anticipate future criminal associations in corruption networks with significant accuracy.
SCIENTIFIC REPORTS
(2022)
