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Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
Published on: October 6, 2023
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molSimplify: A toolkit for automating discovery in inorganic chemistry
Efthymios I Ioannidis1, Terry Z H Gani1, Heather J Kulik1
1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139.
Journal of Computational Chemistry
|July 2, 2016
Summary
This study introduces an automated toolkit for discovering novel inorganic molecules and complexes. It improves structure generation accuracy by 40% using a novel divide-and-conquer approach for computational chemistry.
Area of Science:
- Computational Chemistry
- Materials Science
- Inorganic Chemistry
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