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Michael Greve | Longevity Investing @ Vision Weekend France 2022

This video was recorded at the Foresight Vision Weekend 2022 at Château du Feÿ in France.

Michael Greve | Longevity Investing.

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Artificial intelligence discovers new nanostructures

By Brookhaven National Laboratory

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale “ladder.” The research was published today in Science Advances…

The newly discovered structures were formed by a process called , in which a material’s molecules organize themselves into unique patterns. Scientists at Brookhaven’s Center for Functional Nanomaterials (CFN) are experts at directing the self-assembly process, creating templates for materials to form desirable arrangements for applications in microelectronics, catalysis, and more. Their discovery of the nanoscale ladder and other new structures further widens the scope of self-assembly’s applications.

Chemists cook up brand-new kind of nanomaterial

There’s a new nanomaterial on the block. University of Oregon chemists have found a way to make carbon-based molecules with a unique structural feature: interlocking rings.

Like other nanomaterials, these linked-together molecules have interesting properties that can be “tuned” by changing their size and chemical makeup. That makes them potentially useful for an array of applications, such as specialized sensors and new kinds of electronics.

“It’s a new topology for , and we’re finding new properties that we haven’t been able to see before,” said James May, a graduate student in chemistry professor Ramesh Jasti’s lab and the first author on the paper. May and his colleagues report their findings in a paper published in Nature Chemistry.

LED Smart Lighting System Based on Quantum Dots More Accurately Reproduces Daylight

Year 2022 face_with_colon_three


Researchers have designed smart, color-controllable white light devices from quantum dots – tiny semiconductors just a few billionths of a meter in size – which are more efficient and have better color saturation than standard LEDs, and can dynamically reproduce daylight conditions in a single light.

The researchers, from the University of Cambridge, designed the next-generation smart lighting system using a combination of nanotechnology, color science, advanced computational methods, electronics, and a unique fabrication process.

“This research opens the way for a wide variety of new human-responsive lighting environments.” —

New spin control method brings billion-qubit quantum chips closer

Australian engineers have discovered a new way of precisely controlling single electrons nestled in quantum dots that run logic gates. What’s more, the new mechanism is less bulky and requires fewer parts, which could prove essential to making large-scale silicon quantum computers a reality.

The serendipitous discovery, made by engineers at the quantum computing start-up Diraq and UNSW Sydney, is detailed in the journal Nature Nanotechnology.

“This was a completely new effect we’d never seen before, which we didn’t quite understand at first,” said lead author Dr. Will Gilbert, a quantum processor engineer at Diraq, a UNSW spin-off company based at its Sydney campus. “But it quickly became clear that this was a powerful new way of controlling spins in a quantum dot. And that was super exciting.”

Optical coating approach prevents fogging and unwanted reflections

Researchers have developed an optical coating system that combines antifogging and antireflective properties. The new technology could help boost the performance of lidar systems and cameras.

“Walking into a warm room from the cold outside can cause glasses to fog up, blinding the user,” said research team leader Anne Gärtner from Fraunhofer Institute for Applied Optics and Precision Engineering and Friedrich Schiller University Jena, both in Jena, Germany. “The same can happen to sensors such as the lidar systems used in autonomous cars. It is important that surfaces remain highly transparent, even if fogging occurs, so that functionality is maintained.”

In Applied Optics, Gärtner and colleagues describe how they combined a that prevents fogging with porous silicon dioxide nanostructures that reduce reflections. Although the coatings described in the paper were designed specifically for lidar systems, the technology can be tailored for many different applications.

Now on the molecular scale: Electric motors

Electric vehicles, powered by macroscopic electric motors, are increasingly prevalent on our streets and highways. These quiet and eco-friendly machines got their start nearly 200 years ago when physicists took the first tiny steps to bring electric motors into the world.

Now a multidisciplinary team led by Northwestern University has made an electric motor you can’t see with the naked eye: an on the molecular scale.

This early work—a motor that can convert into unidirectional motion at the —has implications for and particularly medicine, where the electric molecular motor could team up with biomolecular motors in the human body.

A new method to evaluate thermoelectric materials

Working with one of the world’s preeminent thermoelectric materials researchers, a team of researchers in the Clemson Department of Physics and Astronomy and the Clemson Nanomaterials Institute (CNI) has developed a new, fool-proof method to evaluate thermoelectric materials.

Department of Physics and Astronomy Research Assistant Professor Sriparna Bhattacharya, Engineer Herbert Behlow, and CNI Founding Director Apparao Rao collaborated with world-renowned researcher H. J. Goldsmid, professor emeritus at the University of New South Wales (UNSW) in Sydney, Australia, to create a one-stop method for evaluating the efficiency of .

Goldsmid is considered by many to be the “father of thermoelectrics” for his pioneering work in thermoelectric materials. Bhattacharya first connected with Goldsmid on LinkedIn, telling him she had confirmed one of his theoretical predictions during her graduate studies at Clemson University.

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