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Related papers: Raman thresholds and rigid to floppy transitions i…

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The rigid to floppy transitions and the associated intermediate phase in glasses are studied in the case where the local structure is not fully determined from the macroscopic concentration. The approach uses size increasing cluster…

Disordered Systems and Neural Networks · Physics 2009-11-11 Matthieu Micoulaut

Non-Arrhenius behaviour and fast increase of the ionic conductivity is observed for a number of potassium silicate glasses $(1-x)SiO_2-xK_2O$ with potassium oxide concentration larger than a certain value $x=x_c=0.14$. Recovering of…

Disordered Systems and Neural Networks · Physics 2009-11-11 M. Malki , M. micoulaut , F. Chaimbault , Y. vaills

Ion conducting $(CaO)_x(SiO_2)_{1-x}$ glasses and melts show a threshold behaviour in dc conductivity near $x=x_t=0.50$, with conductivities increasing linearly at $x>x_t$. We show that the behaviour can be traced to a rigid ($x<0.50$) to…

Materials Science · Physics 2009-11-10 M. Malki , M. Micoulaut , F. Chaimbault , Y. Vaills , P. Simon

Bulk glass formation occurs over a very small part of phase space, and "good" glasses (which form even at low quench rates ~ 10K/sec) select an even smaller part of that accessible phase space. An axiomatic theory provides the physical…

Soft Condensed Matter · Physics 2009-11-13 P. Boolchand , Mingji Jin , D. I. Novita , S. Chakravarty

We report new time-resolved synchrotron x-ray diffraction (SXRD) measurements to track structural transformations in calcium-aluminate (CaO)x(Al2O3)1-x liquids during glass formation, and review recent progress in neutron diffraction with…

Materials Science · Physics 2019-10-28 James W E Drewitt , Sandro Jahn , Louis Hennet

The structure of binary As_xS_{1-x} glasses is elucidated using modulated-DSC, Raman scattering, IR reflectance and molar volume experiments over a wide range (8%<x<41%) of compositions. We observe a reversibility window in the calorimetric…

Disordered Systems and Neural Networks · Physics 2009-11-13 Ping Chen , Chad Holbrook , P. Boolchand , D. G. Georgiev , K. A. Jackson , M. Micoulaut

Maxwell counting predicts an isostatic threshold at $\langle r\rangle = 2.4$ for covalent network glasses, but which structural correlations actually produce rigidity near this point is still unclear. In this work, we test four candidates:…

Materials Science · Physics 2026-04-28 Kejun Liu

We observe two thresholds in the variations of electrical conductivity of dry solid electrolyte (AgI)x(AgPO3)1-x glasses, when the AgI additive concentration x increases to 9.5% and to 37.8%. Raman scattering complemented by calorimetric…

Soft Condensed Matter · Physics 2009-11-13 Deassy I. Novita , P. Boolchand , M. Malki , M. Micoulaut

In the framework of topological constraint theory, network glasses are classified as flexible, stressed--rigid, or isostatic if the number of atomic constraints is smaller, larger, or equal to the number of atomic degrees of freedom. Here,…

Materials Science · Physics 2018-12-13 Ernest Ching , Mathieu Bauchy

Three elastic phases of covalent networks, (I) floppy, (II) isostatically rigid and (III) stressed-rigid have now been identified in glasses at specific degrees of cross-linking (or chemical composition) both in theory and experiments. Here…

Disordered Systems and Neural Networks · Physics 2009-11-07 M. Micoulaut , J. C. Phillips

In order to design tougher materials, it is crucial to understand the relationship between their composition and their resistance to fracture. To this end, we investigate the fracture toughness of usual sodium silicate glasses (NS) and…

Materials Science · Physics 2014-10-14 M. Bauchy , M. J. Abdolhosseini Qomi , C. Bichara , F. -J. Ulm , R. J. -M. Pellenq

Raman scattering, IR reflectance and modulated DSC measurements are performed on specifically prepared dry (AgI)x(AgPO3)1-x glasses over a wide range of compositions 0 < x < 0.60. A reversibility window is observed in the 0.095< x < 0.378…

Disordered Systems and Neural Networks · Physics 2008-08-11 Deassy I. Novita , P. Boolchand , Mohammed Malki , Matthieu Micoulaut

Modulated DSC measurements on bulk (Na2O)x(GeO2)1-x glasses show a sharp reversibility window in the 14% < x < 19% soda range, which correlates well with a broad global minimum in molar volumes. Raman and IR reflectance TO and LO mode…

Disordered Systems and Neural Networks · Physics 2009-11-13 K. Rompicharla , D. I. Novita , Ping Chen , P. Boolchand , M. Micoulaut , W. Huff

Raman spectroscopy is a useful experimental tool to investigate local deformation and structural changes in SiO$_2$-based glasses. Using a semi-classical modelling of Raman spectra in large samples of silica glasses, we show in this paper…

Disordered Systems and Neural Networks · Physics 2015-02-04 Nikita S. Shcheblanov , Boris Mantisi , Paolo Umari , Anne Tanguy

Here we show that a new class of glasses composed of heavy metal oxides involving transition metals (V$_\text {2}$O$_\text{}$5-TeO$_\text{2}$), can surprisingly be designed from very basic tools using topology and rigidity of their…

Materials Science · Physics 2015-06-17 Shibalik Chakraborty , P. Boolchand , M. Malki , M. Micoulaut

Fracture toughness is a critical mechanical property of glasses, but a detailed understanding of its link to composition and structure is still missing. Here, focusing on the industrially important family of calcium aluminosilicate glasses,…

Localized nonlinear losses are taken into account in a simple Raman clarinet model.The complete system is expressed as an iterated map, enabling to study the stability of the different playing regimes. A parametric study is carried out with…

Classical Physics · Physics 2025-03-28 Nathan Szwarcberg , Christophe Vergez , Tom Colinot , Michaël Jousserand

A Raman profiling method is used to monitor growth of GexSe100-x melts and reveals a two step process of homogenization. Resulting homogeneous glasses show the non-reversing enthalpy at Tg, {\Delta}Hnr(x), to show a square-well like…

Disordered Systems and Neural Networks · Physics 2012-07-16 S. Bhosle , K. Gunasekera , P. Boolchand , M. Micoulaut

In a recent publication we established an analogy between the free energy of a hard sphere system and the energy of an elastic network [1]. This result enables one to study the free energy landscape of hard spheres, in particular to define…

Disordered Systems and Neural Networks · Physics 2007-08-08 Carolina Brito , Matthieu Wyart

When liquids are classified using Tg -scaled Arrhenius plots of relaxation times (or relative rates of entropy increase above Tg) across a "strong-fragile" spectrum of behaviors, the "strong" liquids have always appeared rather…

Soft Condensed Matter · Physics 2015-06-12 C. Austen Angell , Mahin Hemmati
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