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Found 4 papers, 3 papers with code
Bespoke Nanoparticle Synthesis and Chemical Knowledge Discovery Via Autonomous Experimentations
The optimization of nanomaterial synthesis using numerous synthetic variables is considered to be extremely laborious task because the conventional combinatorial explorations are prohibitively expensive.
Machine vision for vial positioning detection toward the safe automation of material synthesis
Although robot-based automation in chemistry laboratories can accelerate the material development process, surveillance-free environments may lead to dangerous accidents primarily due to machine control errors.
Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning
On the other hand, the DL-based identification of crystal symmetry suffers from a drastic drop in accuracy for problems involving classification into tens or hundreds of symmetry classes (e. g., up to 230 space groups), severely limiting its practical usage.
Slab Graph Convolutional Neural Network for Discovery of N2 Electroreduction Catalysts
The catalyst development for N2 electroreduction reaction (NRR) with low onset potential and high Faradaic efficiency is highly desired, but remains challenging.
Materials Science
