The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

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 ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...