most citedConvolutional neural networks enable high-fidelity prediction of path-dependent diffusion barrier spectra in multi-principal element alloys

37 citations · 37 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 37 cited

Convolutional neural networks enable high-fidelity prediction of path-dependent diffusion barrier spectra in multi-principal element alloys

Zhao Fan, Bin Xing, Penghui Cao

The emergent multi-principal element alloys (MPEAs) provide a vast compositional space to search for novel materials for technological advances. However, how to efficiently identif…