Accelerating the Discovery of Single-Molecule Magnets with Deep Learning

Synthesizing or studying certain materials in a laboratory setting often poses challenges due to safety concerns, impractical experimental conditions, or cost constraints. In response, scientists are increasingly turning to deep learning methods which involve developing and training machine learning models to recognize patterns and relationships in data that include information about material properties, compositions, and behaviors. Using deep learning, scientists can quickly make predictions about material properties based on the material’s composition, structure, and other relevant features, identify potential candidates for further investigation, and optimize synthesis conditions. <a href="https://tokyouniversityofscience.medium.com/accelerating-the-discovery-of-single-molecule-magnets-with-deep-learning-f176bcd8074b">Website</a>