[HTML][HTML] A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computation aiming at …

J Gao, J Zhong, G Liu, S Yang, B Song, L Zhang… - Advanced Powder …, 2022 - Elsevier
High-throughput calculations/simulations are the prerequisite for the efficient design of high-
performance materials. In this paper, a machine learning accelerated distributed task …

Interdiffusion and atomic mobility of the Mg–Sn–Zn system

L Yang, Y Yuan, Q Li, J Wu, T Chen, J Wang, X Zuo… - Calphad, 2023 - Elsevier
Abstract Tin (Sn) and Zinc (Zn) are common alloying elements in magnesium (Mg) alloys.
The thermodynamic and kinetic information of Mg–Sn–Zn system is necessary for …

Low-Temperature Reactive Sintered Porous Mg-Al-Zn Alloy Foams

SO Agbedor, D Yang, J Chen, L Wang, H Wu - Metals, 2022 - mdpi.com
By using carbamide granules as the space holder, Mg alloy foams with interconnected pore
structures were synthesized by reactive sintering of a mixture of Mg, Al and Zn powders. The …

A novel strategy for modeling composition-/temperature-dependent viscosity in multicomponent melts: Mg-Al-Zn-Sn-Bi as a test case

X Xu, Y Tang, Z Qiu, L Zhang, X Xia, J Ding - Journal of Non-Crystalline …, 2024 - Elsevier
A viscosity model based on CALPHAD principles, considering the influences of associates
in multicomponent melts, was developed. A strategy for determining CALPHAD-type …

An Effective Strategy to Maintain the CALPHAD Atomic Mobility Database of Multicomponent Systems and Its Application to Hcp Mg–Al–Zn–Sn Alloys

T Cheng, J Zhong, L Zhang - Materials, 2021 - mdpi.com
In this paper, a general and effective strategy was first developed to maintain the CALPHAD
atomic mobility database of multicomponent systems, based on the pragmatic numerical …

[PDF][PDF] Advanced Powder Materials

J Gao, J Zhong, G Liu, S Yang, B Song, L Zhang, Z Liu - Sort - researchgate.net
High-throughput calculations/simulations are the prerequisite for the efficient design of high-
performance materials. In this paper, a machine learning accelerated distributed task …