Surprisingly, we found that even significantly higher dark energy densities would still be compatible with life, suggesting ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.

Schneider Electric’s energy VP unpacks the grid’s biggest vulnerabilities and what's missing in its digitalisation efforts.

A new study has introduced a new form of the classic Ising model that, by incorporating non-reciprocal interactions, can recreate many properties of one-way networks Updated - May 26, 2025 06:51 ...

While this information about the different models is useful to have, it doesn’t affect everyone. If you mostly use ChatGPT to generate images, search the web, and send general queries, then the ...

This standard model paints a “crazy successful” picture of how the universe evolved from one second to 14 billion years old, despite the fact that 95 percent of the model’s contents are ...

The modern energy market focuses on sustainability, with smart grids essential in minimizing costs and optimizing the transition toward cleaner energy sources. Through the integration of digital ...

For example, predictions of lithospheric thickness in different models differed by as much as 80%–120% in large portions of central and northern Greenland.

Multi-fidelity graph neural networks for efficient power flow analysis under high-dimensional demand and renewable generation uncertainty. Electric Power Systems Research, 2024; 237: 111014 DOI ...

Physics-informed neural networks (PINNs) integrate physical principles into machine learning, finding wide applications in various scientific and engineering fields. However, solving nonlinear ...

The increasing flow of power north is part of a worrying trend for North America: Demand for energy is growing robustly everywhere, but the supply of power — in Canada’s case from giant ...