Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

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 ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

Recycled plastics are promoted on everything from water bottles and fleece jackets to shopping bags and yogurt cups: "This product is made with XX% recycled plastic." Verifying such claims, however, ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

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 ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...