The TA formulation: an efficient approach to model the macroscopic electromagnetic behaviour of HTS coated conductor applications

F Huber, W Song, M Zhang, F Grilli - … Science and Technology, 2022 - iopscience.iop.org
In recent years, the TA formulation has emerged as an efficient approach for modelling the
electromagnetic behaviour of high-temperature superconductor (HTS) tapes in the form of …

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 …

[HTML][HTML] JA formulation: A finite element methodology for simulating superconducting devices

G dos Santos, BMO Santos, F Sass… - Superconductivity, 2023 - Elsevier
High-temperature superconductors are a powerful technological option to be applied in the
current scenario of energy transition. Their applications include fault current limiters, power …

Machine learning f-doped Bi (Pb)–Sr–Ca–Cu–O superconducting transition temperature

Y Zhang, X Xu - Journal of Superconductivity and Novel Magnetism, 2021 - Springer
The increase in critical temperature of high-temperature superconductors fulfills needs of
practical applications with liquid-helium-free refrigeration and a delay in magnet failure. But …

Predicting doped Fe-based superconductor critical temperature from structural and topological parameters using machine learning

Y Zhang, X Xu - International Journal of Materials Research, 2021 - degruyter.com
Recently, Fe-based superconductors have shown promising properties of high critical
temperature and high upper critical fields, which are prerequisites for applications in high …

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 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 …

Machine learning decomposition onset temperature of lubricant additives

Y Zhang, X Xu - Journal of Materials Engineering and Performance, 2020 - Springer
The thermal stability of lubricant additives is a fundamental parameter in practical
applications, which is determined by the molecular structure. The ability to predict thermal …

Numerical modeling of AC loss in HTS coated conductors and Roebel cable using TA formulation and comparison with H formulation

Y Yan, T Qu, F Grilli - IEEE Access, 2021 - ieeexplore.ieee.org
With recent advances in second-generation high temperature superconductors (2G HTS)
and cable technologies, various numerical models based on finite-element method (FEM) …