ScienceDaily: Strange Science News |
- Water on ancient Mars
- Asteroid's scars tell stories of its past
- A new spin on atoms gives scientists a closer look at quantum weirdness
- Most isolated massive stars are kicked out of their clusters
- Water fleas on 'happy pills' have more offspring
- Graphene-based memory resistors show promise for brain-based computing
Posted: 30 Oct 2020 11:21 AM PDT A meteorite that originated on Mars billions of years ago reveals details of ancient impact events on the red planet. Certain minerals from the Martian crust in the meteorite are oxidized, suggesting the presence of water during the impact that created the meteorite. The finding helps to fill some gaps in knowledge about the role of water in planet formation. |
Asteroid's scars tell stories of its past Posted: 30 Oct 2020 11:21 AM PDT Asteroid Bennu only recently migrated into Earth's neighborhood, according to a detailed analysis of impact marks on boulders on its surface. The report provides a new benchmark for understanding the evolution of asteroids and offers insights into space debris hazardous to spacecraft. |
A new spin on atoms gives scientists a closer look at quantum weirdness Posted: 30 Oct 2020 10:28 AM PDT A team of researchers has developed a new way to control and measure atoms that are so close together no optical lens can distinguish them. |
Most isolated massive stars are kicked out of their clusters Posted: 30 Oct 2020 08:18 AM PDT New studies reveals how some massive stars -- stars eight or more times the mass of our sun -- become isolated in the universe: most often, their star clusters kick them out. |
Water fleas on 'happy pills' have more offspring Posted: 29 Oct 2020 11:20 AM PDT Dopamine can trigger feelings of happiness in humans. Water fleas that are exposed to dopamine-regulating substances apparently gain several advantages. |
Graphene-based memory resistors show promise for brain-based computing Posted: 29 Oct 2020 05:22 AM PDT As progress in traditional computing slows, new forms of computing are coming to the forefront. A team of engineers is attempting to pioneer a type of computing that mimics the efficiency of the brain's neural networks while exploiting the brain's analog nature. |
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