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47 articles from ScienceDaily

Canada geese beat humans in longstanding territory battle

Canada geese collide with aircraft, intimidate unassuming joggers, and leave lawns and sidewalks spattered with prodigious piles of feces. They're widely considered nuisance birds, and municipalities invest considerable time and money harassing geese to relocate the feisty flocks. But new research shows standard goose harassment efforts aren't effective, especially in winter when birds should be...

Research unearths obscure heat transfer behaviors

Researchers have found that boron arsenide, which has already been viewed as a highly promising material for heat management and advanced electronics, also has a unique property. After reaching an extremely high pressure that is hundreds of times greater than the pressure found at the bottom of the ocean, boron arsenide's thermal conductivity actually begins to decrease. The results suggest that...

Physicist identifies how electron crystals melt

The mysterious changes in phases of matter -- from solid to liquid and back again -- have fascinated some researchers. Researchers have now identified an intermediate phase between solid and liquid in electrons that has some regularity but not as much as a solid, and not as much freedom as a liquid. They found that the electrons in this state arrange themselves into tiny strips that can move...

The entanglement advantage

Researchers have demonstrated a way to entangle atoms to create a network of atomic clocks and accelerometers. The method has resulted in greater precision in measuring time and acceleration.

Mom's dietary fat rewires male and female brains differently

New findings in mice show that excessive weight gain while pregnant tips the scales for male but not female mice to be more depressed in adulthood due to less brain serotonin. A similar result was found in humans, where the more fat measured in a placenta corresponded to less serotonin in the developing brains of males, but not females.

Nanoengineers develop a predictive database for materials

Nanoengineers have developed an AI algorithm that predicts the structure and dynamic properties of any material -- whether existing or new -- almost instantaneously. Known as M3GNet, the algorithm was used to develop matterverse.ai, a database of more than 31 million yet-to-be-synthesized materials with properties predicted by machine learning algorithms. Matterverse.ai facilitates the discovery...