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Found 3 papers, 2 papers with code
Automated patent extraction powers generative modeling in focused chemical spaces
Deep generative models have emerged as an exciting avenue for inverse molecular design, with progress coming from the interplay between training algorithms and molecular representations.
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
This has created a challenge to traditional methods of engagement with the research literature; the volume of new research is far beyond the ability of any human to read, and the urgency of response has lead to an increasingly prominent role for pre-print servers and a diffusion of relevant research across sources.
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach
Singlet fission has emerged as one of the most exciting phenomena known to improve the efficiencies of different types of solar cells and has found uses in diverse optoelectronic applications.
