Bringing energy materials to market using deep learning for natural language processing
2021
M. Sluydts
Modifying the order-disorder transition in Fe-Si
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
Building synthesis recipes for microstructures using NLP
The Fe-Si phase diagram: from electrical steel to the planet Mercury
Charting the magnetocrystalline anisotropy energy in iron space
Bringing energy materials to market using deep learning for natural language processing
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