Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, the core material that directly determines the performance and lifespan of a ...

The massive datasets that power machine learning algorithms and systems are complex, noisy, and vulnerable to various kinds of errors, contamination, and adversarial corruptions. As data science and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

Reliability is expected from every manufactured product, but achieving reliability in an age of changing technology and increased product complexity can prove to be a challenge. That was the ...

Hybrid perovskites are organic-inorganic molecules that have received a lot of attention over the past 10 years for their potential use in renewable energy. Some are comparable in efficiency to ...