AI helps find formula for paint to keep buildings cooler.

AI-Engineered Heat-Reflective Coating: Scientists used machine learning to design a new paint that keeps surfaces up to 20 °C cooler under the sun. A single building coated in warm climates could save enough electricity annually to power thousands of AC units. This example illustrates how AI lets us leap ahead in discovering sustainable materials faster, […]
A generative model for inorganic materials design.

MatterGen is a generative AI model developed by Microsoft Research that designs stable, novel inorganic materials with specific properties. Unlike traditional methods that involve screening existing compounds, MatterGen directly generates new materials by adjusting their 3D crystal structures. It has been fine-tuned to produce materials with desired magnetic, electronic, and mechanical properties. One of the […]
Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling

This study outlines a next-gen sorting system combining robotics, AI-powered classification, laser segmentation, and a Digital Twin for textile recycling. It makes sorting more accurate, efficient, and scalable—supporting real advances toward a circular economy. We are looking at how AI supports sustainable product development, not just design, but post-consumption recycling. This research introduces an autonomous […]
