Machine learning accelerates discovery of solar-cell perovskites

Chemistry - May 20

An EPFL research project has developed a method based on machine-learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. As we integrate solar energy into our daily lives, it has become important to find materials that efficiently convert sunlight into electricity.

Media - May 17

Orphan articles: the ’dark matter’ of Wikipedia


Wikipedia is the largest platform for open and freely accessible knowledge online yet, in a new study, researchers have found that around 15% of the content is effectively invisible to readers browsing within Wikipedia. They have developed a new tool to help overcome this.

Life Sciences - May 16

Quantifying inbreeding: a novel model for monitoring genetic health

Life Sciences

A new statistical approach published in the journal PNAS reveals a major advance in the measurement of inbreeding.

Physics - May 16

Artificial intelligence calculates phase diagrams


Researchers at the University of Basel have developed a new method for calculating phase diagrams of physical systems that works similarly to ChatGPT. This artificial intelligence could even automate scientific experiments in the future.

Environment - May 15

Using solar energy to generate heat at high temperatures


Instead of burning coal or oil to produce cement or steel, in the future solar energy could be used for this purpose. Researchers at ETH Zurich have developed a thermal trap that can absorb concentrated sunlight and deliver heat at over thousand degrees Celsius.

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