Bringing energy materials to market using deep learning for natural language processing
2021
S. Cottenier
The Fe-Si phase diagram: from electrical steel to the planet Mercury
Modifying the order-disorder transition in Fe-Si
Inverse design of energy materials using atomistic deep learning
Inhibiting Hydrogen entry in repurposed pipelines for H2-transport
Charting the magnetocrystalline anisotropy energy in iron space
The Fe-Si phase diagram: from electrical steel to the planet Mercury
Polonium-containing molecules in MYRRHA
Inverse design of energy materials using atomistic deep learning
Charting the magnetocrystalline anisotropy energy in iron space
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