Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Infleqtion has been selected to advance to Phase 3 of the Q4Bio Challenge, a global program demonstrating quantum-enabled solutions for human health.

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Key TakeawaysAutomation and AI can systematically pinpoint optimal designs among hundreds of thousands of possibilities, increasing isoprenol titers ...

A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and uniformity for optical AR displays.

1 Key Laboratory of Fluid and Power Machinery, Xihua University, Ministry of Education, Chengdu, China 2 State Key Laboratory of Hydroscience and Department of Energy and Power Engineering, Tsinghua ...

The study shows that AI plays an equally critical role in smart grid operations, where the challenge shifts from managing single households to coordinating thousands or millions of distributed energy ...