Binary phase diagrams and thermodynamic properties of silicon and essential do** elements (Al, As, B, Bi, Ga, In, N, P, Sb and Tl)

A Mostafa, M Medraj - Materials, 2017 - mdpi.com
Fabrication of solar and electronic silicon wafers involves direct contact between solid, liquid
and gas phases at near equilibrium conditions. Understanding of the phase diagrams and …

High cooling rates and metastable phases at the interfaces of explosively welded materials

IA Bataev, DV Lazurenko, S Tanaka, K Hokamoto… - Acta materialia, 2017 - Elsevier
During an explosion, the interfaces of welded materials experience fast heating due to high
strain rate severe plastic deformation. This leads to the formation of local zones, where …

Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning

W Yi, G Liu, Z Lu, J Gao, L Zhang - Journal of Materials Science & …, 2022 - Elsevier
A356 alloys are widely used in industries due to their excellent comprehensive performance.
Sr is usually added in A356 alloys to improve their mechanical properties. There have been …

Study on the strengthening mechanism of rare earth yttrium on magnesium alloys

Y Chen, Z Zhu, J Zhou - Materials Science and Engineering: A, 2022 - Elsevier
The thermodynamic stability of intermetallic compounds formed by most conventional
alloying elements in Mg alloys is not high, resulting in the poor heat resistance of Mg alloys …

Modelling microstructure evolution during casting, homogenization and ageing heat treatment of Al-Mg-Si-Cu-Fe-Mn alloys

K Tang, Q Du, Y Li - Calphad, 2018 - Elsevier
Understanding microstructural evolution occupies one of the central positions in the
discipline of materials science and engineering. In this review we summarize the recent …

[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 …

Nano-Calphad: extension of the Calphad method to systems with nano-phases and complexions

G Kaptay - Journal of materials science, 2012 - Springer
The abbreviation “nano-Calphad” stands for “Calculation of Phase Diagrams for nano-
systems.” Nano-systems contain at least one phase or at least one interface layer (film …

Thermodynamic description of the quaternary Al-Si-Mg-Sc system and its application to the design of novel Sc-additional A356 alloys

Z Lu, L Zhang - Materials & Design, 2017 - Elsevier
Using published experimental phase equilibria, a self-consistent thermodynamic database
of the Al-Si-Mg-Sc quaternary system in Al-rich corner was established by application of the …

Modeling over-ageing in Al-Mg-Si alloys by a multi-phase CALPHAD-coupled Kampmann-Wagner Numerical model

Q Du, K Tang, CD Marioara, SJ Andersen, B Holmedal… - Acta Materialia, 2017 - Elsevier
The formation of the equilibrium precipitation phase during ageing treatment of Al-Mg-Si
alloys is preceded by a series of metastable phases. Given longer ageing time, higher …

Computer alloy design of Ti modified Al-Si-Mg-Sr casting alloys for achieving simultaneous enhancement in strength and ductility

S Zhang, W Yi, J Zhong, J Gao, Z Lu, L Zhang - Materials, 2022 - mdpi.com
In this paper, an efficient design of a Ti-modified Al-Si-Mg-Sr casting alloy with
simultaneously enhanced strength and ductility was achieved by integrating computational …