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Found 2 papers, 2 papers with code
Scalable deeper graph neural networks for high-performance materials property prediction
Machine learning (ML) based materials discovery has emerged as one of the most promising approaches for breakthroughs in materials science.
Modeling and Optimizing Laser-Induced Graphene
A lot of technological advances depend on next-generation materials, such as graphene, which enables a raft of new applications, for example better electronics.
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