ScienceDaily: Matter & Energy News

Engineering students have designed an autonomous robot that can find and open doors in 3D digital simulations. Now they're building the hardware for an autonomous robot that not only can open its own doors but also can find the nearest electric wall outlet to recharge without human help.

Researchers have developed a new analysis technique that will help scientists improve renewable energy storage by making better supercapacitors.

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces. Now this same technology may power the next wave of innovations in materials design, according to scientists.

An international research team has invented a 'smart' window material that controls heat transmission without blocking views, which could help cut the energy required to cool and heat buildings.

Concrete is very versatile, inexpensive, literally hard, and can be cast into almost any shape. It consists, in principle, only of sand, gravel, water, and the binder cement. The latter is made by the calcination of lime, clay, and some other components, and forms stable calcium silicate hydrates during hardening, which are responsible for the properties of concrete. However, the problem lies precisely in the calcination of lime, because for every molecule of calcium oxide produced, the so-called 'burnt lime' or 'quicklime', one molecule of the greenhouse gas carbon dioxide is released. For an annual world production of around 4.5 billion tons of cement, this is translated into 2.7 billion tons of carbon dioxide.

How monitoring quantum Otto engine affects its performance. Minimizing the measurement effects preserves coherence across engine cycles and improves the power output and reliability.

Why do teapots always drip? This phenomenon has been studied scientifically for decades - now a research team has succeeded in describing the 'teapot effect' completely and in detail with an elaborate theoretical analysis and numerous experiments.

The amount of stress a material can withstand before it cracks is critical information when designing aircraft, spacecraft, and other structures. Aerospace engineers used machine learning for the first time to predict stress in copper at the atomic scale.

A new imaging technique can measure temperature in 2D, without contact, and in just a snap.