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20172022
most citedCooling-Rate Effects in Sodium Silicate Glasses: Bridging the Gap between Molecular Dynamics Simulations and Experiments

162 citations · 183 across the 9 of their papers we have counts for

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6 papers · 1 filter

cond-mat.mtrl-sci2022

Accelerated Design of Chalcogenide Glasses through Interpretable Machine Learning for Composition Property Relationships

Sayam Singla, Sajid Mannan, Mohd Zaki +1

Chalcogenide glasses possess several outstanding properties that enable several ground breaking applications, such as optical discs, infrared cameras, and thermal imaging systems.…

cond-mat.mtrl-sci20218 cited

Revealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

R. Ravinder, Suresh Bishnoi, Mohd Zaki +1

Inorganic glasses, produced by the melt-quenching of a concoction of minerals, compounds, and elements, can possess unique optical and elastic properties along with excellent chemi…

cond-mat.mtrl-sci20195 cited

Deep Learning Aided Rational Design of Oxide Glasses

R. Ravinder, Karthikeya H. Sreedhara, Suresh Bishnoi +5

Despite the extensive usage of oxide glasses for a few millennia, the composition-property relationships in these materials still remain poorly understood. While empirical and phys…

cond-mat.mtrl-sci20191 cited

Cooling Rate Effects on the Structure of 45S5 Bioglass: Computational and Experimental Evidence of Si--P Avoidance

Pratik Bhaskar, Yashasvi Maurya, Rajesh Kumar +10

Due to its ability to bond with living tissues upon dissolution, 45S5 bioglass and related compositions are promising materials for the replacement, regeneration, and repair of har…

cond-mat.mtrl-sci2019

Predicting Young's Modulus of Glasses with Sparse Datasets using Machine Learning

Suresh Bishnoi, Sourabh Singh, R. Ravinder +4

Machine learning (ML) methods are becoming popular tools for the prediction and design of novel materials. In particular, neural network (NN) is a promising ML method, which can be…

cond-mat.mtrl-sci2017162 cited

Cooling-Rate Effects in Sodium Silicate Glasses: Bridging the Gap between Molecular Dynamics Simulations and Experiments

Xin Li, Weiying Song, Kai Yang +7

Although molecular dynamics (MD) simulations are commonly used to predict the structure and properties of glasses, they are intrinsically limited to short time scales, necessitatin…