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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 …
Modeling the mechanics of amorphous solids at different length scale and time scale
We review the recent literature on the simulation of the structure and deformation of
amorphous solids, including oxide and metallic glasses. We consider simulations at different …
amorphous solids, including oxide and metallic glasses. We consider simulations at different …
Electron-beam-assisted superplastic sha** of nanoscale amorphous silica
Glasses are usually shaped through the viscous flow of a liquid before its solidification, as
practiced in glass blowing. At or near room temperature (RT), oxide glasses are known to be …
practiced in glass blowing. At or near room temperature (RT), oxide glasses are known to be …
A review on Machine learning aspect in physics and mechanics of glasses
The glass science and technology is a rapidly develo** field which is focused on
development of new glasses with excellent properties. Glasses are the non-crystalline …
development of new glasses with excellent properties. Glasses are the non-crystalline …
Type label framework for bonded force fields in LAMMPS
New functionality is added to the LAMMPS molecular simulation package, which increases
the versatility with which LAMMPS can interface with supporting software and manipulate …
the versatility with which LAMMPS can interface with supporting software and manipulate …
Polarization effects in ionic solids and melts
Ionic solids and melts are compounds in which the interactions are dominated by
electrostatic effects. However, the polarization of the ions also plays an important role in …
electrostatic effects. However, the polarization of the ions also plays an important role in …
[HTML][HTML] Interatomic potentials for oxide glasses: Past, present, and future
The continuous development and improvement of interatomic potential models for oxide
glasses have made classical molecular dynamics a powerful computational technique …
glasses have made classical molecular dynamics a powerful computational technique …
Deep machine learning interatomic potential for liquid silica
The use of machine learning to develop neural network potentials (NNP) representing the
interatomic potential energy surface allows us to achieve an optimal balance between …
interatomic potential energy surface allows us to achieve an optimal balance between …
A machine-learned interatomic potential for silica and its relation to empirical models
Silica (SiO2) is an abundant material with a wide range of applications. Despite much
progress, the atomistic modelling of the different forms of silica has remained a challenge …
progress, the atomistic modelling of the different forms of silica has remained a challenge …
[HTML][HTML] New optimization scheme to obtain interaction potentials for oxide glasses
We propose a new scheme to parameterize effective potentials that can be used to simulate
atomic systems such as oxide glasses. As input data for the optimization, we use the radial …
atomic systems such as oxide glasses. As input data for the optimization, we use the radial …