Summary:
- This article discusses how machine learning is being used to accelerate research in direct energy deposition (DED), a type of 3D printing technology.
- Researchers are using machine learning algorithms to optimize the DED process, which involves melting and depositing metal powders layer by layer to create complex 3D objects.
- The use of machine learning allows for faster experimentation and testing, leading to improved understanding of the DED process and the ability to produce higher-quality 3D printed parts.