Teng Long

Werkstoffwissenschaftler

Has participated in:

Accelerating the discovery of crystalline materials with desired intrinsic properties by machine learning
Enhanced anomalous Nernst effects in ferromagnetic materials driven by Weyl nodes
Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures

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Teng Long

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