Unexpected sluggish martensitic transformation in a strong and super-ductile high-entropy alloy of ultralow stacking fault energy
Displacive martensitic transformation usually prevails in face-centered cubic (FCC) steels
and high-entropy alloys (HEAs) of low stacking fault energy (SFE; eg,< 15 mJ/m 2) upon …
and high-entropy alloys (HEAs) of low stacking fault energy (SFE; eg,< 15 mJ/m 2) upon …
Chemical randomness, lattice distortion and the wide distributions in the atomic level properties in high entropy alloys
DS Aidhy - Computational Materials Science, 2024 - Elsevier
High entropy alloys (HEAs) consist of multiple elements present in large proportions that are
randomly distributed on a crystal lattice. On the one hand, the presence of multiple elements …
randomly distributed on a crystal lattice. On the one hand, the presence of multiple elements …
Anomalous dislocation response to deformation strain in CrFeCoNiPd high-entropy alloys with nanoscale chemical fluctuations
Nanoscale chemical fluctuations and their effect on the deformation behavior of CrFeCoNi-
based high-entropy alloys (HEAs) were investigated using small-angle scattering and in situ …
based high-entropy alloys (HEAs) were investigated using small-angle scattering and in situ …
Effect of short-range order on lattice distortion, stacking fault energy, and mechanical performance of Co-Fe-Ni-Ti high-entropy alloy at finite temperature
X Zhou, H Song, C Guo, Z Yang, F Tian - Physical Review Materials, 2024 - APS
The characterization of short-range order (SRO) and its influence on performance are a
widely debated topics in high-entropy alloys (HEAs). In this work, taking the Co-Fe-Ni-Ti …
widely debated topics in high-entropy alloys (HEAs). In this work, taking the Co-Fe-Ni-Ti …
Enhancing ablation resistance of CuCr contact materials through metallic element doping: First-principles calculations
D Feng, X Fu, S Wang, X Liu, Q Zhao - Materials Letters, 2024 - Elsevier
In this paper, a first-principles design approach for ablation-resistant contact materials was
developed. Take Cu 16 Cr 16 for example, the melting point was used as the criterion to …
developed. Take Cu 16 Cr 16 for example, the melting point was used as the criterion to …
Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning
A Linda, MF Akhtar, S Pathak, S Bhowmick - Physical Review B, 2024 - APS
Stacking fault energies (SFEs) are key parameters to understand the deformation
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
Accelerating Generalized Stacking Fault Energy Prediction by Combining Friedel Model, Ab Initio Calculation and Machine Learning
A Linda, MF Akhtar, S Pathak, S Bhowmick - Ab Initio Calculation and … - papers.ssrn.com
Stacking fault energies (SFEs) are key parameters to understand the deformation
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …