In this talk, I will review our group's recent work at the interface of machine learning, molecular design, and chemistry. In particular, I will talk about or work on autoencoders, generative adversarial networks and beyond for finding molecules of potential benefit to the planet.

Can androids dream of electric molecules? Generative models for chemistry and molecular properties

255th National Meeting (2018)

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