Addressing reliable, accurate, and fast-acting voltage supervision that enables the reliable deployment of next-generation DC ...

Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult.

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

The latest versions of Apple's MacBook Pro laptops include M5 chips with revamped architecture to bring performance upgrades ...

A recent study published in Engineering presents a novel framework for enhancing decision-making in energy systems through the deep integration of machine learning (ML) and mathematical programming ...

A research team led by Prof. Tianyu Wang and Jialin Meng from the School of Integrated Circuits and State Key Laboratory of Crystal Materials at Shandong University has developed the world’s first ...

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...