AI is the buzzword for scientists from quite some time due to which there emerged many AI experiments and projects for different industrial categories. Recent advancements in this path are the new Computer-Aided Material Design (CAMaD) system which can extract information relating to fabrication processes, material structures, and properties.
These factors play a key role in determining the material design, how to organize and visualize their internal relationship. This project was a joint venture by NIMS and the Toyota Technological Institute at Chicago. Both the institutes worked together to develop a Computer-Aided Material Design system which is capable of extracting information about the fabrication processes, material structures and its properties easing the process of material design, organizing and visualizing their internal relationship. This project will save us time by summarizing vast information from thousands of scientific into a single chart facilitating a rational and accurate material design.
Actively integrating natural language and processing deep learning into a material design is the main motto of the project. The scientists have already published the AI source code for users besides it is free of cost.