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Purpose
The field of novel materials discovery has witnessed several interesting techniques that span across traditional synthetic chemistry and computational methods. Synthetic chemistry methods are normally Edisonian-based (i.e., trial-and-error) and often will rely on experiential knowledge to synthesize chemically stable materials. Machine Learning (ML) approaches, that are based on Deep Generative Modeling (DGM), are
University of Ottawa × Unknown
42 grants totalling $5.4M
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
1,000 grants totalling $348.9M
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