Insider Brief.
Scientists report on a new approach that can significantly improve the study and understanding of entanglement in quantum materials.
The researchers were led by Peter Zoller at the University of Innsbruck and the Institute of Quantum Optics and Quantum Information of the Austrian Academy of Sciences.
Monolithic 3D integration of electronics based on fully 2D materials is demonstrated in the performance of artificial intelligence tasks.
Multifunctional computer chips have evolved to do more with integrated sensors, processors, memory and other specialized components. However, as chips have expanded, the time required to move information between functional components has also grown.
“Think of it like building a house,” said Sang-Hoon Bae, an assistant professor of mechanical engineering and materials science at the McKelvey School of Engineering at Washington University in St. Louis. “You build out laterally and up vertically to get more function, more room to do more specialized activities, but then you have to spend more time moving or communicating between rooms.”
To address this challenge, Bae and a team of international collaborators, including researchers from the Massachusetts Institute of Technology, Yonsei University, Inha University, Georgia Institute of Technology and the University of Notre Dame, demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence (AI) computing.
The new study estimates $25.7 billion lost annually in waste management and damage to marine ecosystems.
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Cigarette filters were marketed under the guise of addressing health concerns by providing a false impression of safety. These filters, made of a material called cellulose acetate, don’t actually reduce health risks and can even harm the lungs. The cellulose acetate fibers have been shown to deposit into the lungs of smokers.
Google DeepMind and Lawrence Berkeley National Laboratory researchers recently introduced Graph Networks for Materials Exploration (GNoME), an AI tool to discover new materials and predict material stability.
“We are releasing 381K stable materials to help scientists pursue materials discovery breakthroughs,” said Pushmeet Kohli, head of research (AI for science, robustness and reliability) at DeepMind.
Check out the GitHub repository here.
A recent study published in Communications Earth & Environment examines how lunar samples collected and returned by Apollo astronauts contain traces of hydrogen produced by the solar wind. The samples, labeled 79221, were collected during surface activities on Apollo 17 in 1972, and holds the potential to help scientists and engineers better understand how hydrogen within these samples can be used for future space exploration, specifically pertaining to in-situ resource utilization (ISRU).
The practice of ISRU involves using resources directly available at a location without the need of resupply from an outside source. In this case, future lunar astronauts would want to use resources already present on the Moon for their survivability needs rather than having constant resupply from the Earth, which can be both costly and risky.
“Hydrogen has the potential to be a resource that can be used directly on the lunar surface when there are more regular or permanent installations there,” said Dr. Katherine D. Burgess, who is a geologist in the U.S. Naval Research Laboratory (NRL) Materials Science and Technology Division and lead author of the study. “Locating resources and understanding how to collect them prior to getting to the Moon is going to be incredibly valuable for space exploration.”
Some metals seem to carry electric currents without electrons, defying canonical understanding.
For 50 years, physicists have understood current as a flow of charged particles. But a new experiment has found that in at least one strange material, this understanding falls apart.
Prof. Sakhrat Khizroev (University of Miami) discusses how new and advanced materials can be used for interfacing machines and the human brain!
#brain #machines #advancedmaterials
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Published in the prestigious journal Science, the research explores the emergence of a unique polarized versatility within the one-dimensional metal, offering the potential for a seamless transition between insulator and superconductor states.
For 200 years, scientists have failed to grow a common mineral in the laboratory under the conditions believed to have formed it naturally. Now, a team of researchers from the University of Michigan and Hokkaido University in Sapporo, Japan have finally succeeded, thanks to a new theory developed from atomic simulations.
Their success resolves a long-standing geology mystery called the “Dolomite Problem.” Dolomite—a key mineral in the Dolomite mountains in Italy, Niagara Falls, the White Cliffs of Dover and Utah’s Hoodoos—is very abundant in rocks older than 100 million years, but nearly absent in younger formations.
“If we understand how dolomite grows in nature, we might learn new strategies to promote the crystal growth of modern technological materials,” said Wenhao Sun, the Dow Early Career Professor of Materials Science and Engineering at U-M and the corresponding author of the paper published today in Science.
