[HTML][HTML] The past, present and future of photonic glasses: A review in homage to the United Nations International Year of glass 2022
Since the invention and further development of lasers in the 1960s, photonics has grown
into a field that permeates virtually every aspect of modern life. As photonics deals with the …
into a field that permeates virtually every aspect of modern life. As photonics deals with the …
Understanding glass through differential scanning calorimetry
Differential scanning calorimetry (DSC) is a powerful tool to address some of the most
challenging issues in glass science and technology, such as the nonequilibrium nature of …
challenging issues in glass science and technology, such as the nonequilibrium nature of …
Glass-ceramics in dentistry: Fundamentals, technologies, experimental techniques, applications, and open issues
Dental glass-ceramics (DGCs) are developed by controlled crystallization of oxide glasses
and form an important group of biomaterials used in modern dentistry. They are also of great …
and form an important group of biomaterials used in modern dentistry. They are also of great …
The glassy state of matter: Its definition and ultimate fate
The objective of this communication is to clarify the meanings of solid and liquid, to dwell on
the ultimate fate of glass in the limit of infinitely long time, and to propose a modern …
the ultimate fate of glass in the limit of infinitely long time, and to propose a modern …
Study of short range structure of amorphous Silica from PDF using Ag radiation in laboratory XRD system, RAMAN and NEXAFS
RK Biswas, P Khan, S Mukherjee… - Journal of Non …, 2018 - Elsevier
At present synchrotron and neutron sources are the preferred choices for the Pair
Distribution Function (PDF) analysis, but there is a need to explore PDF in a laboratory XRD …
Distribution Function (PDF) analysis, but there is a need to explore PDF in a laboratory XRD …
Machine learning for glass science and engineering: A review
The design of new glasses is often plagued by poorly efficient Edisonian “trial-and-error”
discovery approaches. As an alternative route, the Materials Genome Initiative has largely …
discovery approaches. As an alternative route, the Materials Genome Initiative has largely …
Predicting glass transition temperatures using neural networks
The glass transition temperature (T g) is a kinetic property of major importance for both
fundamental and applied glass science. In this study, we designed and trained an artificial …
fundamental and applied glass science. In this study, we designed and trained an artificial …
Predicting the Young's modulus of silicate glasses using high-throughput molecular dynamics simulations and machine learning
K Yang, X Xu, B Yang, B Cook, H Ramos… - Scientific reports, 2019 - nature.com
The application of machine learning to predict materials' properties usually requires a large
number of consistent data for training. However, experimental datasets of high quality are …
number of consistent data for training. However, experimental datasets of high quality are …
Bioactive and inert dental glass‐ceramics
The global market for dental materials is predicted to exceed 10 billion dollars by 2020. The
main drivers for this growth are easing the workflow of dentists and increasing the comfort of …
main drivers for this growth are easing the workflow of dentists and increasing the comfort of …
[HTML][HTML] Cooling rate effects in sodium silicate glasses: Bridging the gap between molecular dynamics simulations and experiments
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 …
and properties of glasses, they are intrinsically limited to short time scales, necessitating the …