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Dive into the research topics where N. M. Anoop Krishnan is active.

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Featured researches published by N. M. Anoop Krishnan.


ACS Applied Materials & Interfaces | 2016

Confined Water in Layered Silicates: The Origin of Anomalous Thermal Expansion Behavior in Calcium-Silicate-Hydrates

N. M. Anoop Krishnan; Bu Wang; Gabriel Falzone; Yann Le Pape; Narayanan Neithalath; Laurent Pilon; Mathieu Bauchy; Gaurav Sant

Water, under conditions of nanoscale confinement, exhibits anomalous dynamics, and enhanced thermal deformations, which may be further enhanced when such water is in contact with hydrophilic surfaces. Such heightened thermal deformations of water could control the volume stability of hydrated materials containing nanoconfined structural water. Understanding and predicting the thermal deformation coefficient (TDC, often referred to as the CTE, coefficient of thermal expansion), which represents volume changes induced in materials under conditions of changing temperature, is of critical importance for hydrated solids including: hydrogels, biological tissues, and calcium silicate hydrates, as changes in their volume can result in stress development, and cracking. By pioneering atomistic simulations, we examine the physical origin of thermal expansion in calcium-silicate-hydrates (C-S-H), the binding agent in concrete that is formed by the reaction of cement with water. We report that the TDC of C-S-H shows a sudden increase when the CaO/SiO2 (molar ratio; abbreviated as Ca/Si) exceeds 1.5. This anomalous behavior arises from a notable increase in the confinement of water contained in the C-S-Hs nanostructure. We identify that confinement is dictated by the topology of the C-S-Hs atomic network. Taken together, the results suggest that thermal deformations of hydrated silicates can be altered by inducing compositional changes, which in turn alter the atomic topology and the resultant volume stability of the solids.


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.


Physical Review Letters | 2016

Topological Control on Atomic Networks' Relaxation Under Stress

Mathieu Bauchy; Mengyi Wang; Yingtian Yu; Bu Wang; N. M. Anoop Krishnan; Franz-Joseph Ulm; Roland J.-M. Pellenq

Upon loading, atomic networks can feature delayed irreversible relaxation. However, the effect of composition and structure on relaxation remains poorly understood. Herein, relying on accelerated molecular dynamics simulations and topological constraint theory, we investigate the relationship between atomic topology and stress-induced structural relaxation, by taking the example of creep deformations in calcium silicate hydrates (C─S─H), the binding phase of concrete. Under constant shear stress, C─S─H is found to feature delayed logarithmic shear deformations. We demonstrate that the propensity for relaxation is minimum for isostatic atomic networks, which are characterized by the simultaneous absence of floppy internal modes of relaxation and eigenstress. This suggests that topological nanoengineering could lead to the discovery of nonaging materials.Upon loading, atomic networks can feature delayed viscoplastic relaxation. However, the effect of composition and structure on such a relaxation remains poorly understood. Herein, relying on accelerated molecular dynamics simulations and topological constraint theory, we investigate the relationship between atomic topology and stress-induced relaxation, by taking the example of creep deformations in calcium--silicate--hydrates, the binding phase of concrete. Under constant shear stress, C--S--H is found to feature delayed logarithmic shear deformations. We demonstrate that the propensity for relaxation is minimum for isostatic atomic networks, which are characterized by the simultaneous absence of floppy internal modes of relaxation and eigen stress. This suggests that topological nano-engineering could lead to the discovery of non-aging materials.


Journal of Chemical Physics | 2017

Irradiation- vs. vitrification-induced disordering: The case of -quartz and glassy silica

N. M. Anoop Krishnan; Bu Wang; Yann Le Pape; Gaurav Sant; Mathieu Bauchy

Irradiation and vitrification can both result in the disordering of minerals. However, it remains unclear whether these effects are comparable or if the glassy state represents an upper limit for irradiation-induced disordering. By reactive molecular dynamics simulations, we compare the structure of irradiated quartz to that of glassy silica. We show that although they share some degree of similarity, the structure of irradiated quartz and glassy silica differs from each other, both at the short- (<3 Å) and the medium-range (>3 Å and <10 Å). In particular, the atomic network of irradiated quartz is found to comprise coordination defects, edge-sharing units, and large rings, which are absent from glassy silica. These results highlight the different nature of irradiation- and vitrification-induced disordering.


Journal of Chemical Physics | 2018

The hydrophilic-to-hydrophobic transition in glassy silica is driven by the atomic topology of its surface

Yingtian Yu; N. M. Anoop Krishnan; Morten Mattrup Smedskjær; Gaurav Sant; Mathieu Bauchy

The surface reactivity and hydrophilicity of silicate materials are key properties for various industrial applications. However, the structural origin of their affinity for water remains unclear. Here, based on reactive molecular dynamics simulations of a series of artificial glassy silica surfaces annealed at various temperatures and subsequently exposed to water, we show that silica exhibits a hydrophilic-to-hydrophobic transition driven by its silanol surface density. By applying topological constraint theory, we show that the surface reactivity and hydrophilic/hydrophobic character of silica are controlled by the atomic topology of its surface. This suggests that novel silicate materials with tailored reactivity and hydrophilicity could be developed through the topological nanoengineering of their surface.


Journal of Non-crystalline Solids | 2018

Predicting the dissolution kinetics of silicate glasses using machine learning

N. M. Anoop Krishnan; Sujith Mangalathu; Morten Mattrup Smedskjær; Adama Tandia; Henry V. Burton; Mathieu Bauchy

Abstract Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task as the underlying mechanism(s) remain poorly understood and the dissolution kinetics can depend on a large number of intrinsic and extrinsic factors. Here, we assess the potential of data-driven models based on machine learning to predict the dissolution rates of various aluminosilicate glasses exposed to a wide range of solution pH values, from acidic to caustic conditions. Four classes of machine learning methods are investigated, namely, linear regression, support vector machine regression, random forest, and artificial neural network. We observe that, although linear methods all fail to describe the dissolution kinetics, the artificial neural network approach offers excellent predictions, even for untrained data, thanks to its inherent ability to handle non-linear data. We further note that the predictive ability of simpler methods, such as linear regression, could be improved using additional physics-based constraints. Such methods, called as physics-informed machine learning can be used to extrapolate the behavior of untrained compositions as well. Overall, we suggest that a more extensive use of machine learning approaches could significantly accelerate the design of novel glasses with tailored properties.


Journal of Physical Chemistry A | 2017

Effects of Irradiation on Albite’s Chemical Durability

Yi Hsuan Hsiao; Erika Callagon La Plante; N. M. Anoop Krishnan; Yann Le Pape; Narayanan Neithalath; Mathieu Bauchy; Gaurav Sant

Albite (NaAlSi3O8), a framework silicate of the plagioclase feldspar family and a common constituent of felsic rocks, is often present in the siliceous mineral aggregates that compose concrete. When exposed to radiation (e.g., in the form of neutrons) in nuclear power plants, the crystal structure of albite can undergo significant alterations. These alterations may degrade its chemical durability. Indeed, careful examinations of Ar+-implanted albite carried out using Fourier transform infrared spectroscopy (FTIR) and molecular dynamics simulations show that albites crystal structure, upon irradiation, undergoes progressive disordering, resulting in an expansion in its molar volume (i.e., a reduction of density) and a reduction in the connectivity of its atomic network. This loss of network connectivity (i.e., rigidity) results in an enhancement of the aqueous dissolution rate of albite-measured using vertical scanning interferometry (VSI) in alkaline environments-by a factor of 20. This enhancement in the dissolution rate (i.e., reduction in chemical durability) of albite following irradiation has significant impacts on the durability of felsic rocks and of concrete containing them upon their exposure to radiation in nuclear power plant (NPP) environments.


Journal of Chemical Physics | 2018

New insights into the atomic structure of amorphous TiO2 using tight-binding molecular dynamics

Kai Yang; Ali Kachmar; Bu Wang; N. M. Anoop Krishnan; Magdalena Balonis; Gaurav Sant; Mathieu Bauchy

Amorphous TiO2 (a-TiO2) could offer an attractive alternative to conventional crystalline TiO2 phases for photocatalytic applications. However, the atomic structure of a-TiO2 remains poorly understood with respect to that of its crystalline counterparts. Here, we conduct some classical molecular dynamics simulations of a-TiO2 based on a selection of empirical potentials. We show that, on account of its ability to dynamically assign the charge of each atom based on its local environment, the second-moment tight-binding charge equilibration potential yields an unprecedented agreement with available experimental data. Based on these simulations, we investigate the degree of order and disorder in a-TiO2. Overall, the results suggest that a-TiO2 features a large flexibility in its local topology, which may explain the high sensitivity of its structure to the synthesis method being used.


Journal of Non-crystalline Solids | 2017

Irradiation-induced topological transition in SiO 2 : Structural signature of networks' rigidity

Bu Wang; N. M. Anoop Krishnan; Yingtian Yu; Mengyi Wang; Yann Le Pape; Gaurav Sant; Mathieu Bauchy


Physical Review X | 2017

Enthalpy Landscape Dictates the Irradiation- Induced Disordering of Quartz

N. M. Anoop Krishnan; Bu Wang; Yingtian Yu; Yann Le Pape; Gaurav Sant; Mathieu Bauchy

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Mathieu Bauchy

University of California

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Gaurav Sant

University of California

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Bu Wang

University of California

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Yann Le Pape

Oak Ridge National Laboratory

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Yingtian Yu

University of California

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Mengyi Wang

University of California

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