Deep learning pipeline using graph neural networks and variational autoencoders designs, filters, and experimentally validates new synthesizable fluid ferroelectric materials with predicted transition temperatures.
Rational esign of Rod -Like Liquid Crystals Exhibiting Two ematic Phases
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Deep learning directed synthesis of fluid ferroelectric materials
Deep learning pipeline using graph neural networks and variational autoencoders designs, filters, and experimentally validates new synthesizable fluid ferroelectric materials with predicted transition temperatures.