Quantum computing paves the way for low-carbon building operations
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
A new study in Engineering presents an adaptive quantum computing-based model predictive control strategy for building energy management. It aims to boost energy efficiency and decarbonize buildings, and experiments show promising results in reducing energy consumption and carbon emissions.
In Physics of Fluids, researchers have developed a foolproof recipe for cacio e pepe, based on their findings studying the physics of mixing cheese in water and determining the mechanism that causes the cheese sauce to go from creamy to clumpy. The team found that a 2%-3% starch-to-cheese ratio produced the smoothest, most uniform sauce; they recommend using powdered starch, rather than relying on an unknown amount of starch in pasta water.
An $11.5 million sponsorship will launch a new research institute at Tufts focused on materials science and engineering. The Tufts Epsilon Materials Institute is a collaboration between manufacturer Epsilon Group and the university to advance innovations in materials that address global challenges in energy and sustainability.
A study published in Engineering introduces a synchronous-asynchronous ambient noise observation system. It was tested in an abandoned parking lot in Hangzhou to detect karst features. This new system addresses challenges like non-uniform noise source distribution and enables cost-effective, high-resolution subsurface imaging for urban geohazard investigations.