A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Automatic mesh generation, recognized as the "Holy Grail" of Computational Fluid Dynamics (CFD), was highlighted as a critical objective in the NASA ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine data processing and problem-solving.

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Highlights included integrated solar-plus-storage systems, enhanced safety and monitoring, utility-scale power conversion platforms, and broader decarbonization solutions spanning EV charging and gree ...

Traditionally, power converter design for energy storage systems (BESS) normally focuses on conversion efficiency and total ...

Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...

The principle of centrifugal separation is ancient, but its modern industrial application is a feat of precision engineering.

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.