Machine-learning and high-throughput studies for high-entropy materials
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …
[HTML][HTML] A fully kinetic phase diagram-coupled multicomponent columnar-to-equiaxed grain transition model with an application to additive manufacturing
The columnar-to-equiaxed transition (CET) is known to impact crack formation during the
additive manufacturing of metallic alloys. While previous experiments have shown that CET …
additive manufacturing of metallic alloys. While previous experiments have shown that CET …
ICME guided design of heat-treatable Zn-modified Al–Mg alloys
Currently, there is a tendency towards breaking through conventional 5000 series aluminum
alloys framework and designing heat-treatable Al–Mg based alloys with the improved …
alloys framework and designing heat-treatable Al–Mg based alloys with the improved …
The role of coherent nano precipitates on stacking fault and deformation twin formation during tensile deformation of wire arc additive manufactured nickel-aluminum …
The strain hardening mechanisms and dislocation interactions of a wire arc additively
manufactured (WAAM) nickel-aluminum-bronze (NAB) alloy was investigated using multi …
manufactured (WAAM) nickel-aluminum-bronze (NAB) alloy was investigated using multi …
Machine learning‐enabled tomographic imaging of chemical short‐range atomic ordering
In solids, chemical short‐range order (CSRO) refers to the self‐organization of atoms of
certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a …
certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a …
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography
Chemical short-range order (CSRO) refers to atoms of specific elements self-organising
within a disordered crystalline matrix to form particular atomic neighbourhoods. CSRO is …
within a disordered crystalline matrix to form particular atomic neighbourhoods. CSRO is …
A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning
J Zhang, H Gao, Y Liu, J Wang - JOM, 2024 - Springer
The advent of revolutionary advances in artificial intelligence (AI) has sparked significant
interest among researchers across a spectrum of disciplines. Machine learning (ML) has …
interest among researchers across a spectrum of disciplines. Machine learning (ML) has …
Constructing boundary-identical microstructures via guided diffusion for fast multiscale topology optimization
Hierarchical structures exhibit critical features across multiple scales. However, designing
multiscale structures demands significant computational resources, and ensuring …
multiscale structures demands significant computational resources, and ensuring …
Experimental investigation and thermodynamic evaluation of the ZrO2–TiO2–SrO system
Q Feng, M Lv, L Mao, G Chen, X Zou, X Lu, C Li - Calphad, 2023 - Elsevier
In the present work, a series of ZrO 2–TiO 2–SrO ceramic samples were prepared through
solid-state reactions, and the phase relationships at 1473 K were systematically …
solid-state reactions, and the phase relationships at 1473 K were systematically …
Numerical simulation of dendritic growth during solidification process using multiphase-field model aided with machine learning method
L Ren, S Geng, P Jiang, S Gao, C Han - Calphad, 2022 - Elsevier
Multiphase-field (MPF) method has been widely used for predicting the microstructure
formation of technical alloys. Nevertheless, the main reason limiting development of MPF is …
formation of technical alloys. Nevertheless, the main reason limiting development of MPF is …