By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

On 30 March 2026 a 1-day workshop will be organized at CWI by AIMET-NL, the newly initiated Dutch research network on AI for Weather & Climate. The topic of this meeting is Scientific Machine Learning ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...