Nature

Application of statistical design of experiment to identify key factors in cross coupling reactions

Catalytic systems often involve multiple factors that interact synergistically or antagonistically. Therefore, screening and optimising factors are essential to achieve an optimal system. However, ...
Nature

Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development

The aluminum alloys are widely used for a variety of applications and amongst the second largest in use alloys after steel due to high strength to weight ratio 1. The selection of alloying elements ...
The Conversation

AI can design and run thousands of lab experiments without human hands. Humanity isn’t ready for the new risks this brings to biology

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended to govern those capabilities are struggling to keep pace. AI company OpenAI ...
Frontiers

Mechanical behavior, structural innovation, and design methods of novel materials and composite structures under complex loading

With the growing demand for resilient, efficient, and low carbon infrastructure, increasing attention has been directed toward novel materials and ...