scispace - formally typeset
Search or ask a question
Institution

University of Maribor

EducationMaribor, Slovenia
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors provide an overview of the state-of-the-art of the auxetic materials, their development, most common geometries, fabrication methods, mechanical properties, applications and further possibilities for their development.
Abstract: Auxetic cellular materials are modern materials which have some unique and superior mechanical properties. As a consequence of the structural deformation of their internal cellular structure they exhibit a negative Poisson’s ratio, i.e. they significantly increase in volume when stretched and vice versa. The effect of negative Poisson’s ratio is useful in many applications to enhance certain physical properties such as the density, stiffness, fracture toughness, energy absorption and damping. These properties can be further tailored by using variable cell geometry and density distribution, which can be achieved with functionally graded porosity of auxetic materials. This review paper provides the state-of-the-art overview of the auxetic materials, their development, most common geometries, fabrication methods, mechanical properties, applications and further possibilities for their development.

165 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the emergence of chimera states in a multilayer neuronal network, where one layer is composed of coupled and the other layer of uncoupled neurons.
Abstract: We study the emergence of chimera states in a multilayer neuronal network, where one layer is composed of coupled and the other layer of uncoupled neurons. Through the multilayer structure, the layer with coupled neurons acts as the medium by means of which neurons in the uncoupled layer share information in spite of the absent physical connections among them. Neurons in the coupled layer are connected with electrical synapses, while across the two layers neurons are connected through chemical synapses. In both layers the dynamics of each neuron is described by the Hindmarsh-Rose square wave bursting dynamics. We show that the presence of two different types of connecting synapses within and between the two layers, together with the multilayer network structure, plays a key role in the emergence of between-layer synchronous chimera states and patterns of synchronous clusters. In particular, we find that these chimera states can emerge in the coupled layer regardless of the range of electrical synapses. Even in all-to-all and nearest-neighbor coupling within the coupled layer, we observe qualitatively identical between-layer chimera states. Moreover, we show that the role of information transmission delay between the two layers must not be neglected, and we obtain precise parameter bounds at which chimera states can be observed. The expansion of the chimera region and annihilation of cluster and fully coherent states in the parameter plane for increasing values of inter-layer chemical synaptic time delay are illustrated using effective range measurement. These results are discussed in the light of neuronal evolution, where the coexistence of coherent and incoherent dynamics during the developmental stage is particularly likely.

165 citations

Journal ArticleDOI
M. Iwasaki1, Kimitaka Itoh1, Hiroaki Aihara1, Kazuo Abe  +176 moreInstitutions (44)
TL;DR: In this article, the authors presented a method to solve the PDE problem in PhysRevD using the Web of Science Record created on 2010-11-05, modified on 2017-05-12.
Abstract: Reference EPFL-ARTICLE-154446doi:10.1103/PhysRevD.72.092005View record in Web of Science Record created on 2010-11-05, modified on 2017-05-12

165 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared three mass transfer models for the prediction of sheet cavitation around a hydrofoil, and found that the numerical predictions were very close to each other and in agreement with the experimental data.

165 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the evolution of cooperation in games that describe social dilemmas, where the propensity to adopt a different strategy depends both on individual fitness as well as on the strategies of neighbors.
Abstract: Whether or not to change strategy depends not only on the personal success of each individual, but also on the success of others. Using this as motivation, we study the evolution of cooperation in games that describe social dilemmas, where the propensity to adopt a different strategy depends both on individual fitness as well as on the strategies of neighbors. Regardless of whether the evolutionary process is governed by pairwise or group interactions, we show that plugging into the “wisdom of groups” strongly promotes cooperative behavior. The more the wider knowledge is taken into account the more the evolution of defectors is impaired. We explain this by revealing a dynamically decelerated invasion process, by means of which interfaces separating different domains remain smooth and defectors therefore become unable to efficiently invade cooperators. This in turn invigorates spatial reciprocity and establishes decentralized decision making as very beneficial for resolving social dilemmas.

165 citations


Authors

Showing all 4077 results

NameH-indexPapersCitations
Ignacio E. Grossmann11277646185
Mirjam Cvetič8945627867
T. Sumiyoshi8885562277
M. Bračko8773830195
Xin-She Yang8544461136
Matjaž Perc8440022115
Baowen Li8347723080
S. Nishida8267827709
P. Križan7874926408
S. Korpar7861523802
Attila Szolnoki7623120423
H. Kawai7647722713
John Shawe-Taylor7250352369
Matjaz Perc5714812886
Mitja Lainscak5528722004
Network Information
Related Institutions (5)
Vienna University of Technology
49.3K papers, 1.3M citations

88% related

Royal Institute of Technology
68.4K papers, 1.9M citations

88% related

Eindhoven University of Technology
52.9K papers, 1.5M citations

88% related

Polytechnic University of Milan
58.4K papers, 1.2M citations

88% related

Hong Kong Polytechnic University
72.1K papers, 1.9M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202352
2022135
2021809
2020870
2019832
2018756