10 citations · 20 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2023★ 10 cited
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design
Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj +6
Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make fast predictions, albe…
cond-mat.mes-hall2014★ 9 cited
Current-induced switching of magnetic tunnel junctions: Effects of field-like spin-transfer torque, pinned-layer magnetization orientation and temperature
R. K. Tiwari, M. H. Jhon, N. Ng +2
We study current-induced switching in magnetic tunnel junctions (MTJs) in the presence of a field-like spin-transfer torque and titled pinned-layer magnetization in the high curren…