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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. No Access

    Chapter

    Machine Learning for Glass Modeling

    With abundant composition-dependent glass properties data of good quality, machine learning-based models can enable the development of glass compositions with desired properties such as liquidus temperature, v...

    Adama Tandia, Mehmet C. Onbasli, John C. Mauro in Springer Handbook of Glass (2019)

  8. 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)

  9. No Access

    Chapter

    How Did Bioactive Glasses Revolutionize Medical Science? A Tribute to Larry Hench

    Biomaterials influence human lives through their versatile medical applications and very promising future. A large number of pharmaceutical firms and manufacturing companies are investing in the production, de...

    Gurbinder Kaur, John C. Mauro, Vishal Kumar in Clinical Applications of Biomaterials (2017)

  10. No Access

    Chapter

    Biomaterials for Cell Encapsulation: Progress Toward Clinical Applications

    Cell microencapsulation is a technique to treat a wide range of diseases through the continuous and controlled delivery of therapeutic products. This technique can also treat multiple diseases in the absence o...

    Gurbinder Kaur, Francesco Baino, John C. Mauro in Clinical Applications of Biomaterials (2017)

  11. No Access

    Article

    Enthalpy landscapes and the glass transition

    A fundamental understanding of the glass transition is essential for enabling future breakthroughs in glass science and technology. In this paper, we review recent advances in the modeling of glass transition ...

    John C. Mauro, Roger J. Loucks in Scientific Modeling and Simulation SMNS (2008)

  12. No Access

    Article

    Advanced modulation formats for fiber optic communication systems

    Choice of modulation format plays a critical role in the design and performance of fiber optic communication systems. We discuss the basic physics of electro-optic phase and amplitude modulation and derive mod...

    John C. Mauro, Srikanth Raghavan in Scientific Modeling and Simulation SMNS (2008)