[HTML][HTML] A review on mechanical alloying and spark plasma sintering of refractory high-entropy alloys: Challenges, microstructures, and mechanical behavior
Refractory high-entropy alloys (RHEAs) are promising candidates for those applications
requiring of strong materials at high temperatures with elevated thermal stability and …
requiring of strong materials at high temperatures with elevated thermal stability and …
Assessing the Accuracy of Machine Learning Interatomic Potentials in Predicting the Elemental Orderings: A Case Study of Li-Al Alloys
In atomistic modeling, machine learning interatomic potential (MLIP) has emerged as a
powerful technique for studying alloy materials. However, given that MLIPs are often trained …
powerful technique for studying alloy materials. However, given that MLIPs are often trained …
Neural network for predicting Peierls barrier spectrum and its influence on dislocation motion
The Peierls barrier represents the inherent lattice resistance to dislocation glide, controlling
dislocation movement and dictating the resulting mechanical properties. The rise of multi …
dislocation movement and dictating the resulting mechanical properties. The rise of multi …
Revealing the effect of inverse dislocation pileups on the mechanical properties of multi-principal element alloys
F Shuang, J Xue, KE Aifantis - Journal of Materials Science & Technology, 2024 - Elsevier
In this work, we utilize atomistic simulations and dislocation mechanics to explore the
formation of inverse pileups in CrCoNi model alloys and elucidate their unique impact on the …
formation of inverse pileups in CrCoNi model alloys and elucidate their unique impact on the …
Elucidating the roles of chemistry, compositional complexity, and short-range order in the dislocation energetics of body-centered-cubic concentrated solid solutions
Dislocation-mediated deformation mechanisms in body-centered-cubic solid solutions are
expected to be influenced by spatial fluctuations in screw dislocation core energies. In …
expected to be influenced by spatial fluctuations in screw dislocation core energies. In …
Interplay between thermal vacancy and short-range order in complex concentrated alloys
This work investigates the interplay between thermal vacancy and short-range order (SRO)
in complex concentrated alloys (CCAs) for the purposes of accurately predicting SRO …
in complex concentrated alloys (CCAs) for the purposes of accurately predicting SRO …
Role of chemical disorder in slowing down diffusion in complex concentrated alloys
SC Dai, Y Yang, YJ Wang - Physical Review Materials, 2024 - APS
The advent of multiprincipal element alloys (MPEAs) has sparked significant interest in
physical metallurgy. These alloys, distinguished by their high configurational entropy aimed …
physical metallurgy. These alloys, distinguished by their high configurational entropy aimed …
Machine learning-based identification method of new strengthening element and the study on Al-Zn-Mg-Cu-Zr-Hf alloy
Y Juan, G Niu, Y Yang, Y Dai, J Yang… - Materials Today …, 2024 - Elsevier
In this study, we proposed a strengthening element screening method through integrating a
machine learning-based property optimization model with strength descriptors of Al-Zn-Mg …
machine learning-based property optimization model with strength descriptors of Al-Zn-Mg …
Machine Learning-Based Identification Method of New Strengthening Element and the Study on High-Strength Al-Zn-Mg-Cu-Zr-Hf Alloy
Y Juan, G Niu, Y Yang, Y Dai, J Yang… - Available at SSRN … - papers.ssrn.com
We proposed a strengthening element screening method through integrating a machine
learning-based property optimization model with strength descriptors of Al-Zn-Mg-Cu alloy …
learning-based property optimization model with strength descriptors of Al-Zn-Mg-Cu alloy …