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  1. Article

    Entropy flow in thermoelectric/thermochemical transport

    Long-Qing Chen, John C. Mauro in MRS Bulletin (2024)

  2. Article

    Unifying physics of chemical mobility, diffusivity, and capacitance

    Long-Qing Chen, John C. Mauro in MRS Bulletin (2024)

  3. No Access

    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...

    Mohd Zaki, Amreen Jan, N. M. Anoop Krishnan, John C. Mauro in MRS Bulletin (2023)

  4. No Access

    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 ...

    Collin J. Wilkinson, Kuo-Hao Lee, Danqi Yin, John C. Mauro in MRS Communications (2022)

  5. Article

    Open Access

    Predicting 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 ...

    Mikkel L. Bødker, Mathieu Bauchy, Tao Du, John C. Mauro in npj Computational Materials (2022)

  6. Article

    Open Access

    Topological 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...

    Yongjian Yang, Osamu Homma, Shingo Urata, Madoka Ono in npj Computational Materials (2020)

  7. Article

    Open Access

    Implicit 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...

    Matthew E. McKenzie, Sushmit Goyal, Troy Loeffler, Ling Cai in npj Computational Materials (2018)