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Romanian Academy

ArchiveBucharest, Romania
About: Romanian Academy is a archive organization based out in Bucharest, Romania. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 3662 authors who have published 10491 publications receiving 146447 citations. The organization is also known as: Academia Română & Societatea Literară Română.


Papers
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Journal ArticleDOI
TL;DR: In this paper, Ghiba et al. showed that the presence of band-gaps is related to a unique elastic coefficient, the so-called Cosserat couple modulus, which is also responsible for the loss of symmetry of the Cauchy force stress tensor.
Abstract: In this paper, the relaxed micromorphic model proposed in Ghiba et al. (Math Mech Solids, 2013), Neff et al. (Contin Mech Thermodyn, 2013) has been used to study wave propagation in unbounded continua with microstructure. By studying dispersion relations for the considered relaxed medium, we are able to disclose precise frequency ranges (band-gaps) for which propagation of waves cannot occur. These dispersion relations are strongly nonlinear so giving rise to a macroscopic dispersive behavior of the considered medium. We prove that the presence of band-gaps is related to a unique elastic coefficient, the so-called Cosserat couple modulus μ c , which is also responsible for the loss of symmetry of the Cauchy force stress tensor. This parameter can be seen as the trigger of a bifurcation phenomenon since the fact of slightly changing its value around a given threshold drastically changes the observed response of the material with respect to wave propagation. We finally show that band-gaps cannot be accounted for by classical micromorphic models as well as by Cosserat and second gradient ones. The potential fields of application of the proposed relaxed model are manifold, above all for what concerns the conception of new engineering materials to be used for vibration control and stealth technology.

139 citations

Journal ArticleDOI
TL;DR: It has been found that more methanol molecules are connected to non-cyclic entities, while more water molecules form rings that might have been predicted on the basis of the stoichiometry of the mixtures.
Abstract: Molecular dynamics simulation has been performed to study the structure of water–methanol mixtures. Besides the evaluation of partial radial distribution functions describing the hydrogen-bonded structure of the mixtures with different composition, the statistical analysis of configurations was introduced resulting in a new insight in the clustering properties and topology of hydrogen-bonded network. The results have shown that mixtures of methanol and water exhibit extended structures in solution. At low methanol concentration the water molecules form a percolated network, the methanol molecules are incorporated as monomers or short chains and together form a percolated system. In methanol-rich mixtures short water chains and longer methanol chains build up the hydrogen-bonded clusters in the system. On the basis of the statistical analysis of configurations obtained from molecular dynamics simulation it has been found that more methanol molecules are connected to non-cyclic entities, while more water molecules form rings that might have been predicted on the basis of the stoichiometry of the mixtures. This finding can be explained by the presence of microscopic configurational inhomogeneity in water–methanol mixtures.

138 citations

Journal ArticleDOI
TL;DR: In this paper, the authors outline how to make an estimate of the detectability of solar-like oscillations in any given Kepler target, using rough estimates of the temperature and radius, and the Kepler apparent magnitude.
Abstract: Asteroseismology of solar-type stars has an important part to play in the exoplanet program of the NASA Kepler Mission. Precise and accurate inferences on the stellar properties that are made possible by the seismic data allow very tight constraints to be placed on the exoplanetary systems. Here, we outline how to make an estimate of the detectability of solar-like oscillations in any given Kepler target, using rough estimates of the temperature and radius, and the Kepler apparent magnitude.

137 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used principal component analysis (PCA) and two dimensional IR correlation spectroscopy (IRCS) to study the chemical changes of wood components during heat treatment under low temperature at about 140°C and 10% of relative humidity.

137 citations

Journal ArticleDOI
TL;DR: The most prominent structural traits that characterize PTPs and their complexes with ligands are compiled and discussed to discuss how the data can be used to design further functional experiments and as a basis for drug design given that many P TPs are now considered strategic therapeutic targets for human diseases such as diabetes and cancer.
Abstract: Structural analysis of protein tyrosine phosphatases (PTPs) has expanded considerably in the last several years, producing more than 200 structures in this class of enzymes (from 35 different proteins and their complexes with ligands) The small-medium size of the catalytic domain of approximately 280 residues plus a very compact fold makes it amenable to cloning and overexpression in bacterial systems thus facilitating crystallographic analysis The low molecular weight PTPs being even smaller, approximately 150 residues, are also perfect targets for NMR analysis The availability of different structures and complexes of PTPs with substrates and inhibitors has provided a wealth of information with profound effects in the way we understand their biological functions Developments in mammalian expression technology recently led to the first crystal structure of a receptor-like PTP extracellular region Altogether, the PTP structural work significantly advanced our knowledge regarding the architecture, regulation and substrate specificity of these enzymes In this review, we compile the most prominent structural traits that characterize PTPs and their complexes with ligands We discuss how the data can be used to design further functional experiments and as a basis for drug design given that many PTPs are now considered strategic therapeutic targets for human diseases such as diabetes and cancer

136 citations


Authors

Showing all 3740 results

NameH-indexPapersCitations
Cristina Popescu7428518434
Adrian Covic7357017379
Gheorghe Paun6539918513
Floriana Tuna6027111968
Arto Salomaa5637417706
Jan A. Bergstra5561613436
Alexandru T. Balaban5360514225
Cristian Sminchisescu5317312268
Maya Simionescu4719210608
Marius Andruh462398431
Werner Scheid465189186
Vicenţiu D. Rădulescu463607771
Cornelia Vasile442977108
Irinel Popescu444018448
Mihail Barboiu442395789
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022113
2021671
2020690
2019704
2018630