Machine learning glass transition temperature of polymers

Y Zhang, X Xu - Heliyon, 2020 - cell.com
As an important thermophysical property, polymers' glass transition temperature, Tg, could
sometimes be difficult to determine experimentally. Modeling methods, particularly data …

Lattice misfit predictions via the Gaussian process regression for Ni-based single crystal superalloys

Y Zhang, X Xu - Metals and Materials International, 2021 - Springer
Ni-based single crystal superalloys exhibit superb mechanical strength, particularly, creep
resistance at elevated temperature. The unique microstructure, which is consisted of γ γ and …

Machine learning lattice constants for cubic perovskite compounds

Y Zhang, X Xu - ChemistrySelect, 2020 - Wiley Online Library
Cubic perovskites have attracted great attention in the past decade due to unique and
tunable optical, mechanical, and electrical properties, which are promising candidates for …

Machine learning lattice parameters of monoclinic double perovskites

Y Zhang, X Xu - International Journal of Quantum Chemistry, 2021 - Wiley Online Library
Monoclinic double perovskites, such as A2B′ B ″O6, exhibit a wide range of unique
electronic, magnetic, and optical properties, depending on the alloying elements, ordering …

Understanding quench in no-insulation (NI) REBCO magnets through experiments and simulations

KR Bhattarai, K Kim, K Kim, K Radcliff… - Superconductor …, 2020 - iopscience.iop.org
Present research on no-insulation (NI) rare earth barium copper oxide (REBCO) magnets
have demonstrated their ability to produce high fields due to their compact nature. NI …

Machine learning lattice constants for spinel compounds

Y Zhang, X Xu - Chemical Physics Letters, 2020 - Elsevier
Spinels can house a large variety of elements into the crystal structure. As a crystallographic
parameter, the lattice constant, a, is highly sought in further investigations into materials …

Machine learning lattice constants for cubic perovskite A2XY6 compounds

Y Zhang, X Xu - Journal of Solid State Chemistry, 2020 - Elsevier
Metal halide perovskites have attracted great attention in the past decade due to unique and
tunable optical and electrical properties, which are promising candidates for various …

Modeling of lattice parameters of cubic perovskite oxides and halides

Y Zhang, X Xu - Heliyon, 2021 - cell.com
Perovskites having the chemical formulae of ABX 3 are promising candidates for various
electronic, magnetic, and thermal applications. One of the important structural factors is a …

Machine learning the central magnetic flux density of superconducting solenoids

Y Zhang, X Xu - Materials Technology, 2022 - Taylor & Francis
The central magnetic flux density is usually simulated via finite element methods that require
a significant amount of inputs and computation resources. We develop the Gaussian …

Machine learning lattice constants from ionic radii and electronegativities for cubic perovskite compounds

Y Zhang, X Xu - Physics and Chemistry of Minerals, 2020 - Springer
Metal halide perovskites have attracted great attention in the past decade due to unique and
tunable optical and electrical properties, which are promising candidates for various …