A fractal butterfly pattern produced by an unusual configuration of magnetic fields, first predicted almost 50 years ago, has been seen in detail for the first time in a twisted piece of graphene.
While a physics student in 1976, the computer scientist Douglas Hofstadter predicted that when certain two-dimensional crystals were placed in magnetic fields, their electrons’ energy levels should produce a strange pattern that looks the same no matter how far you zoom in, known as a fractal. At the time, however, Hofstadter calculated that the atoms of the crystal would have to be impossibly close together to produce such a pattern.
Image: Yazdani Lab, Princeton University
The electrons in a twisted piece of graphene show a strange repeating pattern first predicted in 1976, but never directly measured until now.
Microsoft have announced a quantum breakthrough – the Majorana 1 chip. But what is it and what does it really mean for the future of quantum computing?
Nature paper. https://www.nature.com/articles/s4158… announcement: https://news.microsoft.com/source/fea… Check out @domainofscience ‘s awesome video: • Microsoft’s Topological Quantum Compu… 0:00 Microsoft Announces World’s First Topological Qubit 1:19 The Problem with Normal Quantum Computers 6:47 How Do You Build a Quantum Computer? 14:54 What Do You Actually Do with a Quantum Computer? 18:33 Addressing the Majorana 1 Concerns 🚀 🚀 I help scientists and investors tackle the World’s biggest challenges: EMPIRICAL VENTURES: https://empiricalventures.vc 🤘👨🔬 ROCKSTAR SCIENTIST Merch: https://www.rockstarscientist.org/ 📸 INSTAGRAM / drbenmiles 🚀 JOIN US for members-only content: / drbenmiles A few people have asked so I’ve added the info below. Some of these are affiliate links. If you make a purchase it doesn’t cost you anything extra, but a percentage of the sale will help support this channel and my work to bringing entrepreneurship into science. Camera : Sony A7III https://amzn.to/3OWrmGd Lens: Sigma 402,965 16 mm F1.4 https://amzn.to/49BNJdq Mics: Shure SM7B • Scientists Just Created World’s First… Zoom H4n Pro https://amzn.to/3OXsklB Sennheiser AVX https://amzn.to/4geWnBi.
Check out @domainofscience‘s awesome video: • Microsoft’s Topological Quantum Compu…
0:00 Microsoft Announces World’s First Topological Qubit. 1:19 The Problem with Normal Quantum Computers. 6:47 How Do You Build a Quantum Computer? 14:54 What Do You Actually Do with a Quantum Computer? 18:33 Addressing the Majorana 1 Concerns.
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Researchers at Tohoku University, the University of Manchester, and Osaka University have made a breakthrough that has the potential to ignite the development of next-gen chiral information technology.
Chirality is a property of materials where their mirror image is not identical to the original—just like our left and right hands. This unique characteristic creates two distinct states, which researchers believe could one day be used to store digital information, much like the “0” and “1” states in conventional computing.
All 10 NASA payloads remain healthy as Blue Ghost approaches it’s final destination and continues to support science operations along the way! The LuGRE payload for example — developed in partnership by. NASA Goddard and ASI_spazio — acquired and tracked Global Navigation Satellite System signals for the first time in lunar orbit – a new record! #BGM1
After a successful Trans Lunar Injection burn on Saturday, Feb. 8, Firefly’s spacecraft carrying NASA science and tech to the Moon has departed Earth’s orbit and begun its four-day transit to the Moon’s orbit. Blue Ghost will then spend approximately 16 days in lunar orbit before beginning its descent operations. Since launching more than three weeks ago, Blue Ghost has performed dozens of health tests generating 13 gigabytes of data. All 10 NASA payloads onboard are currently healthy and ready for surface operations on the Moon.
NASA’s Radiation Tolerant Computer (RadPC), developed by Montana State University, successfully operated while passing through the Earth’s Van Allen radiation belts, providing insight on how to mitigate the effects of radiation on computers. This helps improve our understanding of the radiation environment that future astronauts may experience on Artemis missions.
During an on-orbit health check, NASA’s LMS, developed by the Southwest Research Institute, accurately detected a change in magnetic fields. This is a positive sign that LMS will be able to measure the Moon’s magnetic and electrical fields, shedding light on the Moon’s interior temperature and composition on the lunar surface.
Also during a health check, Firefly and NASA teams captured data and an interior image of the sample container a from NASA’s Lunar PlanetVac (LPV), indicating the payload is operational in advance of surface operations on the Moon. The LPV payload is a technology demonstration that is designed to efficiently collect and transfer lunar soil from the surface to other science instruments or sample return containers without reliance on gravity.
With a suite of NASA science and technology on board, Firefly Aerospace is targeting no earlier than 3:45 a.m. EST on Sunday, March 2, to land the Blue Ghost lunar lander on the Moon. Blue Ghost is s-lated to touch down near Mare Crisium, a plain in the northeast quadrant on the near side of the Moon, as part of NASA’s CLPS (Commercial Lunar Payload Services) initiative and Artemis campaign to establish a long-term lunar presence.
Neural interfaces are crucial to restoring and enhancing impaired neural functions, but current technologies struggle to achieve close contact with soft and curved neural tissues. According to Pusan National University, researchers have introduced an innovative method – microelectrothermoforming (μETF) – to create flexible neural interfaces with 3D micro-structures. Their findings show how this method improves neural recording and stimulation, with potential applications in artificial retina devices and brain-computer interfaces.
Microelectrode arrays (MEAs) are widely used for recording brain activity and stimulating neural tissues. However, conventional MEAs are typically flat – limiting their ability to conform to the natural curves of neural structures. Existing methods for adding 3D features require multiple fabrication steps – increasing complexity and restricting design possibilities.
To overcome these limitations, a team led by Associate Professor Joonsoo Jeong and Associate Professor Kyungsik Eom developed μETF – inspired by plastic thermoforming, a common technique for molding plastic sheets into different shapes. The findings are published in the journal of npj Flexible Electronics.
