DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...
A machine learning framework to predict and quantify synthesis difficulties for designer chromosomes
Artificially synthesizing genomes has broad prospects in fields such as medical research and developing industrial strains. From the synthesis of the artificial life JCVI-syn1.0 by Craig Venter's team ...
To close the gap between the rates of computational screening and experimental realization of novel materials 1,2, we introduce the A-Lab, an autonomous laboratory for the solid-state synthesis of ...
Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...
High-level synthesis (HLS) is experiencing a new wave of popularity, driven by its ability to handle machine-learning matrices and iterative design efforts. The obvious advantage of HLS is the boost ...
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal-organic framework. We define chemical intuition as the ...
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