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10/21/2022
Deep Reinforcement Learning for Inverse Inorganic Materials Design
A major obstacle to the realization of novel inorganic materials with de...
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The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Materials science literature contains millions of materials synthesis pr...
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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Leveraging new data sources is a key step in accelerating the pace of ma...
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