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Article
Entropy flow in thermoelectric/thermochemical transport
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Article
Unifying physics of chemical mobility, diffusivity, and capacitance
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Article
Glassomics: An omics approach toward understanding glasses through modeling, simulations, and artificial intelligence
Glass science, like other materials domains, has been advancing at a rapid pace during the last few decades thanks to sophisticated experimental techniques, simulation methods, and computing capabilities. Spec...
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Article
Modeling the relaxation of fluctuations in glass during the Ritland crossover experiment
A knowledge of fluctuations is crucial for understanding the long-term kinetics of glasses. However, current approaches for modeling relaxation rely on an order parameter that only approximates the physics of ...
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Article
Open AccessPredicting glass structure by physics-informed machine learning
Machine learning (ML) is emerging as a powerful tool to predict the properties of materials, including glasses. Informing ML models with knowledge of how glass composition affects short-range atomic structure ...
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Article
Open AccessTopological pruning enables ultra-low Rayleigh scattering in pressure-quenched silica glass
Silica glass is the most indispensable material in optical communication applications due to its superior optical properties. The transmission loss of silica glass has been reduced over the past 30 years by co...
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Open AccessImplicit glass model for simulation of crystal nucleation for glass-ceramics
Predicting crystal nucleation behavior in glass-ceramic materials is important to create new materials for high-tech applications. Modeling the evolution of crystal microstructures is a challenging problem due...