MIT engineers develop a way to determine how the surfaces of materials behave
Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.
Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
A new method could provide detailed information about internal structures, voids, and cracks, based solely on data about exterior conditions.
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.