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ScienceDaily: Matter & Energy News |
| Posted: 10 Aug 2021 01:13 PM PDT Novel camera detects the birth of high-energy runaway electrons, which may lead to determining how to prevent damage caused by the highly energetic particles. |
| System trains drones to fly around obstacles at high speeds Posted: 10 Aug 2021 12:34 PM PDT A new algorithm helps drones find the fastest route around obstacles without crashing. The system could enable fast, nimble drones for time-critical operations such as search and rescue. |
| The movement of small water droplets is controlled by means of a magnet Posted: 10 Aug 2021 11:31 AM PDT A new study has presented and characterized the formation and properties of a superparamagnetic ring, which fits snugly around a drop of water due to liquid-liquid interaction, and allows the drops to be physically manipulated. |
| Metamaterials research challenges fundamental limits in photonics Posted: 10 Aug 2021 10:07 AM PDT Researchers are proposing a new way to modulate both the absorptive and the refractive qualities of metamaterials in real time, and their findings open intriguing new opportunities to control, in time and space, the propagation and scattering of waves for applications in various areas of wave physics and engineering. |
| Researchers discover how to stick sensors to skin without adhesive Posted: 10 Aug 2021 10:07 AM PDT Imagine if you could attach something to your skin without needing glue. A biosensor, a watch, a communications device, a fashion accessory -- the possibilities are endless. Thanks to a discovery, that time could be closer than you think. |
| Speed and absorption key to optimizing new type of rechargeable battery Posted: 10 Aug 2021 07:47 AM PDT Rechargeable, lithium sulfur batteries are promising candidates to sustainably meet the world's energy demands, and a new study has put them one step closer to becoming readily available. |
| Building blocks: New evidence-based system predicts element combination forming high entropy alloy Posted: 05 Aug 2021 08:55 AM PDT Building prediction models for high entropy alloys (HEAs) using material data is challenging, as datasets are often lacking or heavily biased. Now, researchers have developed a new evidence-based recommender system that determines various element combinations for potential HEAs. |
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