Artificial intelligence (AI) is revolutionizing materials science and engineering by accelerating the discovery, design, and optimization of new materials. Here’s a list of notable AI tools and software utilized in this field:Medium
MatterGen
Developed by Microsoft Research, MatterGen is a generative model designed for inorganic materials design, facilitating the creation of novel materials with desired properties. Microsoft
MatterSim
Also from Microsoft Research, MatterSim is a simulation tool that complements MatterGen by predicting the properties and behaviors of newly designed materials, aiding in the validation process. Microsoft
GNoME (Graph Networks for Materials Exploration)
Developed by DeepMind, GNoME utilizes graph neural networks to explore vast chemical spaces, predicting stable crystal structures and accelerating the discovery of new materials. Wikipedia – Die freie Enzyklopädie
AlphaMat
AlphaMat serves as a materials informatics hub, connecting data, features, models, and applications to facilitate the discovery and design of materials across various domains. arXiv
Cephalo
Cephalo integrates multimodal vision and language models for bio-inspired materials analysis and design, enabling the interpretation of complex visual data and aiding in the creation of novel materials. arXiv
These AI tools exemplify the integration of artificial intelligence into materials science, enabling researchers and engineers to expedite the development of innovative materials with tailored properties for various applications.
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