95 citations · 157 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2023★ 3 cited
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
Ji Qi, Tsz Wai Ko, Brandon C. Wood +2
Machine learning interatomic potentials (MLIPs) enable the accurate simulation of materials at larger sizes and time scales, and play increasingly important roles in the computatio…
cond-mat.mtrl-sci2023★ 1 cited
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…