Researchers have created autonomous particles covered with patches of protein “motors.” They hope these bots will tote lifesaving drugs through bodily fluids.
Category: nanotechnology – Page 147
Circa 2020 Electricity free grow lights using quantum dot leds.
While costs are coming down for controlled environment agriculture, electricity remains one of the highest because it has to power the LEDs that provide the lighting formula for plant growth. But a materials science company called UbiQD wants to change that by replacing electricity with a more efficient means of lighting: quantum dots.
Quantum dots are semiconductor nanoparticles that can transport electrons. When exposed to UV lighting, these particles emit lights of various colors, and can be adjusted in size to emit a specific color. For example, larger particles emit redder wavelengths, while smaller ones shift to blue.
Via its UbiGro product, UbiQD uses a patented quantum dot technology to create a layer of lighting in greenhouses. Quantum dots are embedded into a film that is installed beneath a greenhouse cover. When illuminated by sunlight, the film converts shorter wavelengths (UV and blue) to longer ones (red/orange), the latter being the most photosynthetically efficient wavelengths.
From TVs, to solar cells, to cutting-edge cancer treatments, quantum dots are beginning to exhibit their unique potential in many fields, but manufacturing them at scale would raise some issues concerning the environment. Scientists at Japan’s Hiroshima University have demonstrated a greener path forward in this area, by using discarded rice husks to produce the world’s first silicon quantum dot LED light.
“Since typical quantum dots often involve toxic material, such as cadmium, lead, or other heavy metals, environmental concerns have been frequently deliberated when using nanomaterials,” said Ken-ichi Saitow, lead study author and a professor of chemistry at Hiroshima University. “Our proposed process and fabrication method for quantum dots minimizes these concerns.”
The type of quantum dots pursued by Saitow and his team are silicon quantum dots, which eschew heavy metals and offer some other benefits, too. Their stability and higher operating temperatures makes them one of the leading candidates for use in quantum computing, while their non-toxic nature also makes them suitable for use in medical applications.
Researchers at the Department of Energy’s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
“There are so many potential materials, some of which we cannot study at all with conventional tools, that need more efficient and systematic approaches to design and synthesize,” said Maxim Ziatdinov of ORNL’s Computational Sciences and Engineering Division and the CNMS. “We can use smart automation to access unexplored materials as well as create a shareable, reproducible path to discoveries that have not previously been possible.”
The approach, published in Nature Machine Intelligence, combines physics and machine learning to automate microscopy experiments designed to study materials’ functional properties at the nanoscale.
Adam FordAdmin.
I’m sure that’s not Deepmind’s official position atm — Nando de Freitas’s tweet was probably reactionary.
Nikolai Torp DragnesDoesn’t really read like the AGI is in a happy comfortable place does it? “Big red button,” “agents,” etc.? Sounds more like being locked in a cage with a gun to your head told to behave, told what to think, what to feel, what to do and what to look a… See more.
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Adam FordAdmin.
I’m sure that’s not Deepmind’s official position atm — Nando de Freitas’s tweet was probably reactionary.
Nikolai Torp DragnesDoesn’t really read like the AGI is in a happy comfortable place does it? “Big red button,” “agents,” etc.? Sounds more like being locked in a cage with a gun to your head told to behave, told what to think, what to feel, what to do and what to look a… See more.
2 Replies.
Working with the tiniest magnets, Hebrew University discovers a new magnetic phenomenon with industrial potential.
For physicists, exploring the realm of the very, very small is a wonderland. Totally new and unexpected phenomena are discovered in the nanoscale, where materials as thin as 100 atoms are explored. Here, nature ceases to behave in a way that is predictable by the macroscopic law of physics, unlike what goes on in the world around us or out in the cosmos.
Dr. Yonathan Anahory at Hebrew University of Jerusalem (HU)’s Racah Institute of Physics led the team of researchers, which included HU doctoral student Avia Noah. He spoke of his astonishment when looking at images of the magnetism generated by nano-magnets, “it was the first time we saw a magnet behaving this way,” as he described the images that revealed the phenomenon of “edge magnetism.”
An international team which includes University of Manchester scientists has for the first time demonstrated that nerve signals are exchanged between clogged up arteries and the brain.
The discovery of the previously unknown electrical circuit is a breakthrough in our understanding of atherosclerosis, a potentially deadly disease where plaques form on the innermost layer of arteries.
The study of mice found that new nerve bundles are formed on the outer layer of where the artery is diseased, so the brain can detect where the damage is and communicate with it.
A team of international scientists have performed difficult machine learning computations using a nano-scale device, named an “optomemristor.”
The chalcogenide thin-film device uses both light and electrical signals to interact and emulate multi-factor biological computations of the mammalian brain while consuming very little energy.
To date, research on hardware for artificial intelligence and machine learning applications has concentrated mainly on developing electronic or photonic synapses and neurons, and combining these to carry out basic forms of neural-type processing.
Water scarcity is a growing problem around the world. Desalination of seawater is an established method to produce drinkable water but comes with huge energy costs. For the first time, researchers use fluorine-based nanostructures to successfully filter salt from water. Compared to current desalination methods, these fluorous nanochannels work faster, require less pressure and less energy, and are a more effective filter.
If you’ve ever cooked with a nonstick Teflon-coated frying pan, then you’ve probably seen the way that wet ingredients slide around it easily. This happens because the key component of Teflon is fluorine, a lightweight element that is naturally water repelling, or hydrophobic. Teflon can also be used to line pipes to improve the flow of water. Such behavior caught the attention of Associate Professor Yoshimitsu Itoh from the Department of Chemistry and Biotechnology at the University of Tokyo and his team. It inspired them to explore how pipes or channels made from fluorine might operate on a very different scale, the nanoscale.
“We were curious to see how effective a fluorous nanochannel might be at selectively filtering different compounds, in particular, water and salt. And, after running some complex computer simulations, we decided it was worth the time and effort to create a working sample,” said Itoh. “There are two main ways to desalinate water currently: thermally, using heat to evaporate seawater so it condenses as pure water, or by reverse osmosis, which uses pressure to force water through a membrane that blocks salt. Both methods require a lot of energy, but our tests suggest fluorous nanochannels require little energy, and have other benefits too.”