AI Helps Researchers Discover New Structural Materials
1 min read
Summary
Researchers from the University of Cincinnati in the US have used an AI-inspired, multi-objective Bayesian optimisation algorithm and 2PP photolithography to develop new nanostructured carbons that offer the compressive strength of carbon steels with the density of polystyrene.
This exceeds the specific strengths of equivalent low-density materials by over an order of magnitude.
While not quite strong enough to build a space elevator just yet, the material could be used in aircraft to reduce fuel consumption and lower emissions.
This demonstrates that AI can be a key part of the toolkit in the innovation of new materials, with some analysts predicting that AI will play an important role in the next technological revolution in materials science.
