55 citations · 82 across the 5 of their papers we have counts for
5 papers
Machine Learning Moment Tensor Potential for Modelling Dislocation and Fracture in L1-TiAl and D0-TiAl Alloys
Ji Qi, Z. H. Aitken, Qingxiang Pei +7
Dual-phase -TiAl and -TiAl alloys exhibit high strength and creep resistance at high temperatures. However, they suffer from low tensile ductility and fracture toughn…
Atomistic modelling of all dislocations and twins in HCP and BCC Ti
Tongqi Wen, Anwen Liu, Rui Wang +5
Ti exhibits complex plastic deformation controlled by active dislocation and twinning systems. Understandings on dislocation cores and twin interfaces are currently not complete or…
The Taming of the Screw: Dislocation Cores in BCC Metals and Alloys
Rui Wang, Lingyu Zhu, Subrahmanyam Pattamatta +2
Body-centred cubic (BCC) transition metals tend to be brittle at low temperatures, posing significant challenges in processing and major concerns for damage tolerance. The brittlen…
Classical and Machine Learning Interatomic Potentials for BCC Vanadium
Rui Wang, Xiaoxiao Ma, Linfeng Zhang +4
BCC transition metals (TMs) exhibit complex temperature and strain-rate dependent plastic deformation behaviour controlled by individual crystal lattice defects. Classical empirica…
Flaw-driven Failure in Nanostructures
X. Wendy Gu, Zhaoxuan Wu, Yong-Wei Zhang +2
Understanding failure in nanomaterials is critical for the design of reliable structural materials and small-scale devices that have components or microstructural elements at the n…