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AlphaGo Game Influences Argonne’s New AI Tool For Materials Discovery


Research paper titled "Learning in continuous action space for developing high dimensional potential energy models" from researchers at Argonne National Lab with contributions from Oak Ridge National Laboratory. Abstract "Reinforcement learning (RL) approaches that combine a tree search with deep learning have found remarkable success in searching exorbitantly large, albeit discrete action ... » read more

System Bits: Nov. 28


Better absorbing materials
 University of Illinois bioengineers have taken a new look at an old tool to help characterize a class of materials called metal organic frameworks (MOFs), used to detect, purify and store gases. The team believes these could help solve some of the world's most challenging energy, environmental and pharmaceutical challenges – and even pull water molecules straigh... » read more