Materials scientists at Kiel University and the Fraunhofer Institute for Silicon Technology in Itzehoe (ISIT) have cleared another hurdle in the development and structuring of new materials for next-generation semiconductor devices, such as novel memory cells.
They have shown that ferroelectric aluminum scandium nitride can be scaled down to a few nanometers and can store different states, making it suitable as a nanoswitch. In addition, they have proved aluminum scandium nitride to be a particularly stable and powerful semiconductor material for current technologies based on silicon, silicon carbide and gallium nitride. In contrast to today’s microelectronics, the material can withstand extreme temperatures of up to 1,000°C.
This opens up applications such as information storage or sensors for combustion processes in engines or turbines in both the chemical industry and in the steel industry. The results were published in the journal Advanced Science. The study was part of a research project that brings together basic research in materials development and applications in microelectronics.
Researchers from Tokyo Metropolitan University have engineered a range of new single-walled transition metal dichalcogenide (TMD) nanotubes with different compositions, chirality, and diameters by templating off boron-nitride nanotubes. They also realized ultra-thin nanotubes grown inside the template, and successfully tailored compositions to create a family of new nanotubes. The ability to synthesize a diverse range of structures offers unique insights into their growth mechanism and novel optical properties.
The work is published in the journal Advanced Materials.
The carbon nanotube is a wonder of nanotechnology. Made by rolling up an atomically thin sheet of carbon atoms, it has exceptional mechanical strength and electrical conductivity among a range of other exotic optoelectronic properties, with potential applications in semiconductors beyond the silicon age.
Karin’s life took a dramatic turn when a farming accident claimed her right arm more than 20 years ago. Since then, she has endured excruciating phantom limb pain. “It felt like I constantly had my hand in a meat grinder, which created a high level of stress and I had to take high doses of various painkillers.”
In addition to her intractable pain, she found that conventional prostheses were uncomfortable and unreliable, and thus of little help in daily life. All this changed when she received groundbreaking bionic technology that allowed her to wear a much more functional prosthesis comfortably all day. The higher integration between the bionics and Karin’s residual limb also relieved her pain. “For me, this research has meant a lot, as it has given me a better life.”
Mechanical attachment and reliable control are two of the biggest challenges in artificial limb replacement. People with limb loss often reject even the sophisticated prostheses commercially available due to these reasons, after experiencing painful and uncomfortable attachment with limited and unreliable controllability.
Automation and sector-wide collaboration will be critical as developers try to move beyond the production challenges that slow growth of the cell and gene therapy sector. So says Julie G. Allickson, PhD, director of Mayo Clinic’s Center for Regenerative Biotherapeutics who argues that, despite considerable investment in infrastructure, production is still the biggest challenge.
“Both industry and academia are challenged by the lack of manufacturing capacity for cell and gene therapies,” she says, citing plasmid production and viral vector production as examples. “Besides these issues, the scalability of production processes can be difficult, especially when coupled to individually expanded cells. When looking at the patient cells variability, quantity and quality of cells is critical to ensure consistency in the product delivered to the patient,” she says.
Tesla has launched an official Application Programming Interface (API) for its vehicles, indicating that the company could be looking at debuting its own app store soon.
Without sharing all the system details, Tesla has launched an initial tier of its own API that’s expected to evolve into next year and will eventually cost money, according to a report from Not a Tesla App earlier this week. The new API tier is called the “Discovery Tier,” and while it’s currently free, that’s expected to change moving into 2024 — though Tesla has yet to detail price points or plans for additional tiers.
Eventually, Tesla is likely to debut its own App Store, generating money from developers who want to develop and host their own services and apps on the automaker’s in-car platform. The current Tesla API is primarily geared toward fleet management, as seen in the Not a Tesla App image below or on the company’s website here.
Many think this lithium ion alternative will nearly double vehicle range and reduce charging time, dramatically changing the perception and performance of electric vehicles.
The preferred “handedness” of biomolecules could have emerged from interactions between electrons and magnetic surfaces on primordial Earth, new research suggests.
One of the biggest unknowns regarding the upcoming Tesla Cybertruck was and still is its size, but a set of new photos posted online on the Cybertruck Owners Club forum shed some light on the matter.
In the images (embedded below), a release candidate (RC) Cybertruck is stopped at a Tesla Supercharger, and a Rivian R1T is parked right next to it, giving us an idea of what to expect when the angular all-electric pickup hits the market toward the end of this year (probably).
Judging from the photos, the Cybertruck seems a bit wider and longer than the R1T. For reference, Rivian’s pickup measures 217.1 inches long, 81.8 in wide (with the side mirrors folded), and 78.2 in tall (with the antenna accounted for and the suspension in its highest setting).
Michael Levin, a developmental biologist at Tufts University, challenges conventional notions of intelligence, arguing that it is inherently collective rather than individual.
The Collective Intelligence of Cells During Morphogenesis: What Bioelectricity Outside the Brain Means for Understanding our Multiscale Nature with Michael Levin — Incredible Minds.
Recorded: April 29, 2023.
Each of us takes a remarkable journey from physics to mind: we start as a blob of chemicals in an unfertilized quiescent oocyte and becomes a complex, metacognitive human being. The continuous process of transformation and emergence that we see in developmental biology reminds us that we are true collective intelligences – composed of cells which used to be individual organisms themselves. In this talk, I will describe our work on understanding how the competencies of single cells are harnessed to solve problems in anatomical space, and how evolution pivoted this scaling of intelligence into the familiar forms of cognition in the nervous system. We will talk about diverse intelligence in novel embodiments, the scaling of the cognitive light cone of all beings, and the role of developmental bioelectricity as a cognitive glue and as the interface by which mind controls matter in the body. I will also show a new synthetic life form, and discuss what it means for bioengineering and ethics of human relationships to the wider world of possible beings. We will discuss the implications of these ideas for understanding evolution, and the applications we have developed in birth defects, cancer, and traumatic injury repair. By merging deep ideas from developmental biophysics, computer science, and cognitive science, we not only get a new perspective on fundamental questions of life and mind, but also new roadmaps in regenerative medicine, biorobotics, and AI.
Michael Levin received dual undergraduate degrees in computer science and biology, followed by a PhD in molecular genetics from Harvard. He did his post-doctoral training at Harvard Medical School, and started his independent lab in 2000. He is currently the Vannevar Bush chair at Tufts University, and an associate faculty member of the Wyss Institute at Harvard. He serves as the founding director of the Allen Discovery Center at Tufts. His lab uses a mix of developmental biophysics, computer science, and behavior science to understand the emergence of mind in unconventional embodiments at all scales, and to develop interventions in regenerative medicine and applications in synthetic bioengineering. They can be found at www.drmichaellevin.org/
