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Dive into the research topics where John C. Mauro is active.

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Featured researches published by John C. Mauro.


Journal of Chemical Physics | 2017

Cooling rate effects in sodium silicate glasses: Bridging the gap between molecular dynamics simulations and experiments

Xin Li; Weiying Song; Kai Yang; N. M. Anoop Krishnan; Bu Wang; Morten Mattrup Smedskjær; John C. Mauro; Gaurav Sant; Magdalena Balonis; Mathieu Bauchy

Although molecular dynamics (MD) simulations are commonly used to predict the structure and properties of glasses, they are intrinsically limited to short time scales, necessitating the use of fast cooling rates. It is therefore challenging to compare results from MD simulations to experimental results for glasses cooled on typical laboratory time scales. Based on MD simulations of a sodium silicate glass with varying cooling rate (from 0.01 to 100 K/ps), here we show that thermal history primarily affects the medium-range order structure, while the short-range order is largely unaffected over the range of cooling rates simulated. This results in a decoupling between the enthalpy and volume relaxation functions, where the enthalpy quickly plateaus as the cooling rate decreases, whereas density exhibits a slower relaxation. Finally, we show that, using the proper extrapolation method, the outcomes of MD simulations can be meaningfully compared to experimental values when extrapolated to slower cooling rates.


Science Advances | 2018

A metal-organic framework with ultrahigh glass-forming ability

Ang Qiao; Thomas D. Bennett; Haizheng Tao; Andraž Krajnc; Gregor Mali; Cara M. Doherty; Aaron W. Thornton; John C. Mauro; G. Neville Greaves; Yuanzheng Yue

We have discovered and clarified the ultrahigh glass-forming ability of the metal-organic frameworks—ZIF-62 [Zn(Im2−xbImx)]. Glass-forming ability (GFA) is the ability of a liquid to avoid crystallization during cooling. Metal-organic frameworks (MOFs) are a new class of glass formers (1–3), with hitherto unknown dynamic and thermodynamic properties. We report the discovery of a new series of tetrahedral glass systems, zeolitic imidazolate framework–62 (ZIF-62) [Zn(Im2−xbImx)], which have ultrahigh GFA, superior to any other known glass formers. This ultrahigh GFA is evidenced by a high viscosity η (105 Pa·s) at the melting temperature Tm, a large crystal-glass network density deficit (Δρ/ρg)network, no crystallization in supercooled region on laboratory time scales, a low fragility (m = 23), an extremely high Poisson’s ratio (ν = 0.45), and the highest Tg/Tm ratio (0.84) ever reported. Tm and Tg both increase with benzimidazolate (bIm) content but retain the same ultrahigh Tg/Tm ratio, owing to high steric hindrance and frustrated network dynamics and also to the unusually low enthalpy and entropy typical of the soft and flexible nature of MOFs. On the basis of these versatile properties, we explain the exceptional GFA of the ZIF-62 system.


Physica A-statistical Mechanics and Its Applications | 2018

Statistical mechanics of topological fluctuations in glass-forming liquids

Katelyn A. Kirchner; Seong H. Kim; John C. Mauro

Abstract All liquids are topologically disordered materials, yet the degree of disorder can vary as a result of internal fluctuations in structure and topology. These fluctuations depend on both the composition and temperature of the system. Most prior work has considered the mean values of liquid or glass properties, such as the average number of topological degrees of freedom per atom; however, the localized fluctuations in properties also play a key role in governing the macroscopic characteristics. This paper proposes a generalized approach for modeling topological fluctuations in glass-forming liquids by linking the statistical mechanics of the disordered structure to topological constraint theory. In doing so we introduce the contributions of localized fluctuations into the calculation of the topological degrees of freedoms in the network. With this approach the full distribution of properties in the disordered network can be calculated as an arbitrary function of composition, temperature, and thermal history (for the nonequilibrium glassy state). The scope of the current investigation focuses on describing topological fluctuations in liquids, concentrating on composition and temperature effects.


Journal of Physical Chemistry B | 2018

Predicting Q-Speciation in Binary Phosphate Glasses Using Statistical Mechanics

Mikkel Sandfeld Bødker; John C. Mauro; Sushmit Goyal; Randall E. Youngman; Morten Mattrup Smedskjær

Predicting the compositional evolution of the atomic-scale structure of oxide glasses is important for developing quantitative composition-property models. In binary phosphate glasses, the addition of network modifiers generally leads to depolymerization of the networks as described by the Q-speciation, where Q n denotes PO4 tetrahedra with n number (between 0 and 3) of bridging P-O-P linkages per tetrahedron. Upon the initial creation of nonbridging oxygens and thus partly depolymerized Q species, a variety of network former-modifier interactions exist. Here, on the basis of 31P magic angle spinning nuclear magnetic resonance spectroscopy data from the literature, we present a statistical description of the compositional evolution of Q-speciation in these glasses by accounting for the relative enthalpic and entropic contributions to the bonding preferences. We show that the entire glass structure evolution can be predicted based on experimental structural information for only a few glass compositions in each series. The model also captures the differences in bonding preferences in glasses with different field strengths (charge-to-size ratio) of the modifier cations.


Current Opinion in Solid State & Materials Science | 2017

Decoding the glass genome

John C. Mauro


Archive | 2013

METHOD FOR FUSION DRAWING ION-EXCHANGEABLE GLASS

Douglas C. Allan; Bradley F. Bowden; Xiaoju Guo; John C. Mauro; Marcel Potuzak


Journal of the American Ceramic Society | 2018

Viscous flow of medieval cathedral glass

Ozgur Gulbiten; John C. Mauro; Xiaoju Guo; Olus Naili Boratav


Archive | 2010

METHODS AND APPARATUS FOR PREDICTING GLASS PROPERTIES

Douglas C. Allan; Adam James Ellison; John C. Mauro


Journal of the American Ceramic Society | 2018

Predictive model for the composition dependence of glassy dynamics

Xiaoju Guo; John C. Mauro; Douglas C. Allan; Morten Mattrup Smedskjær


Physica A-statistical Mechanics and Its Applications | 2018

On the Prony series representation of stretched exponential relaxation

John C. Mauro; Yihong Z. Mauro

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Mathieu Bauchy

University of California

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