Engineering

Nuclear expansion failure shows simulations require change

The widespread adoption of nuclear power was predicted by computer simulations more than four decades ago but the continued reliance on fossil fuels for energy shows these simulations need improvement, a new study has shown.

Computer Sciences

Trust the machine—it knows what it is doing

Machine learning, when used in climate science builds an actual understanding of the climate system, according to a study published in the journal Chaos by Manuel Santos Gutiérrez and Valerio Lucarini, University of Reading, ...

Computer Sciences

Designing lightweight glass for efficient cars and wind turbines

A new machine-learning algorithm for exploring lightweight, very stiff glass compositions can help design next-gen materials for more efficient vehicles and wind turbines. Glasses can reinforce polymers to generate composite ...

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