Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Development of a force field for modeling lithium borosilicate glasses11citations
  • 2020Structural origins of the Mixed Alkali Effect in Alkali Aluminosilicate Glasses: Molecular Dynamics Study and its Assessment57citations

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Miyajima, Tatsuya
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Deng, Lu
1 / 6 shared
Hijiya, Hiroyuki
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Lodesani, Federica
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Pedone, Alfonso
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Menziani, Maria Cristina
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Takato, Yoichi
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2022
2020

Co-Authors (by relevance)

  • Miyajima, Tatsuya
  • Deng, Lu
  • Hijiya, Hiroyuki
  • Lodesani, Federica
  • Pedone, Alfonso
  • Menziani, Maria Cristina
  • Takato, Yoichi
OrganizationsLocationPeople

article

Development of a force field for modeling lithium borosilicate glasses

  • Miyajima, Tatsuya
  • Urata, Shingo
  • Deng, Lu
Abstract

<jats:title>Abstract</jats:title><jats:p>A force field (FF) with a Buckingham function was developed for modeling lithium borosilicate (LBS) glasses using molecular dynamics (MD) simulations. The parameter set of the FF for two‐body interaction between Li and O (Li–O) was optimized to reproduce both theoretically calculated force and energy using the density functional theory (DFT) and experimental properties, such as density and mechanical moduli. Bayesian optimization based on a machine‐learning technique was employed to efficiently find the best parameter set in a wide parameter space. The accuracy of the MD simulation using the optimized FF of Li–O together with the previously reported FFs for Si–O, B–O, and O–O pairs was examined by comparing with experimentally measured boron coordination numbers () in a variety of LBS glasses. Consequently, it was found that the combination of the FFs is not accurate enough to reproduce the boron coordination change with varying glass compositions. Therefore, the parameter set of the B–O pair was extended to be composition‐dependent to reproduce the experimental data on the N. It was confirmed that the empirical parameter correction as a function of[SiO]/[BO] and[LiO]/[BO] ratios enables modeling LBS glass consistently with experimental NMR data.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • theory
  • simulation
  • glass
  • glass
  • molecular dynamics
  • density functional theory
  • Boron
  • Lithium
  • Nuclear Magnetic Resonance spectroscopy