Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks

Z Fan, B Xing, P Cao - Acta Materialia, 2022 - Elsevier
The emergent multi-principal element alloys (MPEAs) provide a vast compositional space to
search for novel materials for technological advances. How to screen promising …
被引用次数：18 相关文章
[PDF] nsf.gov

[PDF][PDF] Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks

Z Fan, B Xing, P Cao - Acta Materialia, 2022 - par.nsf.gov
abstract The emergent multi-principal element alloys (MPEAs) provide a vast compositional
space to search for novel materials for technological advances. How to screen promising …

Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks

Z Fan, B Xing, P Cao - Acta Materialia, 2022 - osti.gov
The emergent multi-principal element alloys (MPEAs) provide a vast compositional space to
search for novel materials for technological advances. How to screen promising …
[PDF] uci.edu

[PDF][PDF] Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks

Z Fan, B Xing, P Cao - Acta Materialia, 2022 - cao.eng.uci.edu
abstract The emergent multi-principal element alloys (MPEAs) provide a vast compositional
space to search for novel materials for technological advances. How to screen promising …

Predicting path-dependent diffusion barrier spectra in vast compositional space of multi-principal element alloys via convolutional neural networks

Z Fan, B Xing, P Cao - Acta Materialia, 2022 - ui.adsabs.harvard.edu
The emergent multi-principal element alloys (MPEAs) provide a vast compositional space to
search for novel materials for technological advances. How to screen promising …