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Semiconductors are the basic building blocks of today’s digital, electronic age, providing us a multitude of devices that benefit our modern life, including computer, smartphones and other mobile devices. Improvements in semiconductor functionality and performance are likewise enabling next-generation applications of semiconductors for computing, sensing and energy conversion. Yet researchers have long struggled with limitations in our ability to fully understand the electronic charges inside semiconductor devices and advanced semiconductor materials, limiting our ability to drive further advances.

In a new study in the journal Nature, an IBM Research-led collaboration describes an exciting breakthrough in a 140-year-old mystery in physics—one that enables us to unlock the physical characteristics of semiconductors in much greater detail and aid in the development of new and improved materials.

To truly understand the physics of semiconductors, we first need to know the fundamental properties of the inside the materials, whether those particles are positive or negative, their speed under an applied electric field and how densely they are packed in the material. Physicist Edwin Hall found a way to determine those properties in 1879, when he discovered that a magnetic field will deflect the movement of electronic charges inside a conductor and that the amount of deflection can be measured as a voltage perpendicular to the flow of charge as shown in Fig. 1a. This voltage, known as the Hall voltage, unlocks essential information about the charge carriers in a semiconductor, including whether they are negative electrons or positive quasi-particles called “holes,” how fast they move in an or their “mobility” (µ) and their density (n) inside the semiconductor.

The 2019 Nobel Prize in Chemistry was awarded to John B. Goodenough (The University of Texas at Austin), M. Stanley Whittingham (Binghamton University, State University of New York), and Akira Yoshino (Asahi Kasei Corporation and Meijo University) “for the development of lithium-ion batteries”. With the creation and subsequent optimization of lithium-ion batteries to make them more powerful, lighter, and more robust, the seminal work of Goodenough, Whittingham, and Yoshino has had a profound impact on our modern society. This ubiquitous technology has revolutionized our daily lives by paving the way for portable electronics and made renewable energy sources more viable. While attempts to improve the performance of batteries continue, the lithium-ion battery has remained the world’s most reliable battery system for more than 40 years. The three winners will each receive an equal share of the roughly $1 million award. At 97, Goodenough is now the oldest person ever to win the Nobel Prize.

“A long-awaited recognition for the creators of lithium-ion batteries has come true. The electrochemistry and material science communities – and the greater chemistry community as a whole – are excited to hear the news of the 2019 Nobel Prize award to John B. Goodenough, M. Stanley Whittingham, and Akira Yoshino for their pioneering contribution to lithium-ion batteries,” said ACS Energy Letters Editor-in-Chief Prashant Kamat. “As we all know, the lithium-ion battery has revolutionized our modern-day activities. From mobile phones to laptops and from electronic gadgets to electric cars, these storage batteries have become part of our everyday life. We at ACS Publications are excited to be part of this celebration.”

Whittingham laid the foundation of the lithium-ion battery while working at Exxon in the 1970s. During that time, the oil crisis in the United States was ongoing, and there was a strong drive to develop methods of energy storage and transport that did not rely on fossil fuels. Whittingham developed a 2V lithium-ion battery based on a titanium disulfide cathode and lithium metal anode. While a seminal contribution to the advancement of the lithium battery, adopting Whittingham’s system for everyday use would be limiting due to the high reactivity of lithium metal and risk of explosion.

This is the Lazareth LMV 496, which the world’s first transforming flying electric motorbike.

Lazareth have a jet engine in the hub of each wheel, and hydraulic actuators that tilt the four wheels out and up, forming a configuration something like a jet-powered hoverbike.

In it’s normal bike form, it is certified to ride on the road, just like the LMV847 Quad bike.

But the main difference between the 2 bikes is, at a press of a button the bike starts it’s transformation. Firstly 2 centre stands come down to support the weight of the bike.

Then each wheel tilts up, so the jet engines in the hubs are now facing down, and after waiting about 60 seconds for the jets to pre-heat, you can lift off.

The Lazareth team will be bringing the Hover Bike, to Gitex computer & electronics trade show in Dubai in October 2019, and will launch pre-orders there at a price of €496,000 euro or about $560,000 US Dollars.

A team of Northwestern University researchers is the first to document the role chemistry will play in next generation computing and communication. By applying their expertise to the field of Quantum Information Science (QIS), they discovered how to move quantum information on the nanoscale through quantum teleportation—an emerging topic within the field of QIS. Their findings were published in the journal, Nature Chemistry, on September 23, 2019, and have untold potential to influence future research and application.

Quantum teleportation allows for the transfer of quantum information from one location to another, in addition to a more secure delivery of that information through significantly improved encryption.

The QIS field of research has long been the domain of physicists, and only in the past decade has drawn the attention and involvement of chemists who have applied their expertise to exploit the quantum nature of molecules for QIS applications.

Quantum computers with the ability to perform complex calculations, encrypt data more securely and more quickly predict the spread of viruses, may be within closer reach thanks to a new discovery by Johns Hopkins researchers.

“We’ve found that a certain contains special properties that could be the for technology of the future,” says Yufan Li, a postdoctoral fellow in the Department of Physics & Astronomy at The Johns Hopkins University and the paper’s first author.

The findings will be published October 11 in Science.

Something called the fast Fourier transform is running on your cell phone right now. The FFT, as it is known, is a signal-processing algorithm that you use more than you realize. It is, according to the title of one research paper, “an algorithm the whole family can use.”

Alexander Stoytchev—an associate professor of electrical and computer engineering at Iowa State University who’s also affiliated with the university’s Virtual Reality Applications Center, its Human Computer Interaction graduate program and the department of computer science—says the FFT and its inverse (known as the IFFT) are at the heart of signal processing.

And, as such, “These are algorithms that made the digital revolution possible,” he said.

Many of us are fascinated by our various computing devices — our smartphones, our smart watches, and an ever-growing array of smart devices. What we sometimes forget is that we are biological creatures (at least, until The Singularity), and that even though biology as a discipline has been around much longer than computing, biology may yet supersede it.

If the 20th century was the era of computers, the 21st century may be the era of biology. And the two may even merge. Hello, synthetic biology and biological computing!

Last week SynBioBeta hosted The Global Synthetic Biology Summit, “where tech meets bio and bio meets tech.” People were urged to attend “to see how synthetic biology is disrupting consumer products, food, agriculture, medicine, chemicals, materials, and more.”

Researchers led by Delft University of Technology personnel have made two steps in the conversion of quantum states between signals in the microwave and optical domains. This is of great interest for connecting future superconducting quantum computers into a global quantum network. This week they report on their findings in Nature Physics and in Physical Review Letters.

Conversion between signals in the microwave and optical domains is of great interest, particularly for connecting future superconducting quantum computers into a global quantum network. Many leading efforts in quantum technologies, including superconducting qubits and quantum dots, share quantum information through photons in the microwave regime. While this allows for an impressive degree of quantum control, it also limits the distance the information can realistically travel before being lost to a mere few centimeters.

At the same time, the field of optical quantum communication has already seen demonstrations over distance scales capable of providing real-world applications. By transmitting information in the optical telecom band, fiber-based quantum networks over tens or even hundreds of kilometers can be envisaged. “In order to connect several quantum computing nodes over large distances into a quantum internet, it is therefore vital to be able to convert quantum information from the microwave to the optical domain, and back,” says Prof. Simon Groeblacher of Delft University of Technology. “This will not only be extremely interesting for quantum applications, but also for highly efficient, low-noise conversion between classical optical and .”

Researchers long wondered how the billions of independent neurons in the brain come together to reliably build a biological machine that easily beats the most advanced computers. All of those tiny interactions appear to be tied to something that guarantees an impressive computational capacity.

Over the past 20 years, evidence mounted in support of a theory that the tunes itself to a point where it is as excitable as it can be without tipping into disorder, similar to a phase transition. This criticality hypothesis asserts that the brain is poised on the fine line between quiescence and chaos. At exactly this line, is maximized.

However, one of the key predictions of this theory—that criticality is truly a set point, and not a mere inevitability—had never been tested. Until now. New research from Washington University in St. Louis directly confirms this long-standing prediction in the brains of freely behaving animals.