Artificial Intelligence for Materials Discovery
This Collection welcomes original research that advances the application of artificial intelligence, machine learning, and autonomous experimentation in materials science. It aims to accelerate the discovery, design, and optimization of functional materials through data-driven methodologies, predictive modeling, and intelligent laboratory systems, enabling innovations in energy, healthcare, electronics, photonics, and sustainable technologies.






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