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Category: computing – Page 520

Imec Presents Sub-1nm Process and Transistor Roadmap Until 2036: From Nanometers to the Angstrom Era

Imec plots a course to 1nm chips, and beyond.

Imec, the most advanced semiconductor research firm in the world, recently shared its sub-‘1nm’ silicon and transistor roadmap at its Future Summit event in Antwerp, Belgium. The roadmap gives us a rough idea of the timelines through 2036 for the next major process nodes and transistor architectures the company will research and develop in its labs in cooperation with industry giants, like TSMC, Intel, Samsung, and ASML, among many others.

The roadmap includes breakthrough transistor designs that evolve from the standard FinFET transistors that will last until 3nm, to new Gate All Around (GAA) nanosheets and forksheet designs at 2nm and A7 (seven angstroms), respectively, followed by breakthrough designs like CFETs and atomic channels at A5 and A2. As a reminder, ten Angstroms are equal to 1nm, so Imec’s roadmap encompasses sub-‘1nm’ process nodes.

You might not have heard of the Interuniversity Microelectronics Centre (imec) before, but it ranks among the most important companies in the world, alongside better-known companies like TSMC and EUV-toolmaker ASML. Think of imec as a silicon Switzerland, of sorts. While the semiconductor research-focused imec doesn’t operate with much fanfare, it serves as the quiet cornerstone of the semiconductor industry, bringing fierce rivals like Intel, TSMC, and Samsung together with chip toolmakers such as ASML and Applied Materials, not to mention the equally-critical semiconductor software design companies (EDA) like Cadence and Synopsys, in a non-competitive environment. This collaboration allows the companies to work together to define the next generation of tools and software they will use to design and manufacture the chips that power the world.

Scientists discovers new properties of magnetism that could change our computers

Benjy WangProbably could be limited by a simulation restart.

Jim RohrichNo limits.

Omuterema Akhahenda shared a link.

PHYSICS:

Our electronics can no longer shrink and are on the verge of overheating. But in a new discovery from the University of Copenhagen, researchers have uncovered a fundamental property of magnetism, which may become relevant for the development of a new generation of more powerful and less hot computers.

World-first quantum dot LED lights made from discarded rice husks

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.

Engineering 2D semiconductors with built-in memory functions

A team of researchers at The University of Manchester’s National Graphene Institute (NGI) and the National Physical Laboratory (NPL) has demonstrated that slightly twisted 2D transition metal dichalcogenides (TMDs) display room-temperature ferroelectricity.

This characteristic, combined with TMDs’ outstanding optical properties, can be used to build multi-functional optoelectronic devices such as transistors and LEDs with built-in memory functions on nanometre length scale.

Ferroelectrics are materials with two or more electrically polarisable states that can be reversibly switched with the application of an external electric field. This material property is ideal for applications such as non-volatile memory, microwave devices, sensors and transistors. Until recently, out-of-plane switchable ferroelectricity at room temperature had been achieved only in films thicker than 3 nanometres.

Scientists Just Measured a Mechanical Quantum System Without Destroying It

There’s a key aspect of quantum computing you may not have thought about before. Called ‘quantum non-demolition measurements’, they refer to observing certain quantum states without destroying them in the process.

If we want to put together a functioning quantum computer, not having it break down every second while calculations are made would obviously be helpful. Now, scientists have described a new technique for recording quantum non-demolition measurements that shows a lot of promise.

In this case, the research involved mechanical quantum systems – objects that are relatively large in quantum computing terms, but exceedingly tiny for us. They use mechanical motion (such as vibration) to handle the necessary quantum magic, and they can be combined with other quantum systems too.

Olaf Sporns: Connectivity and Fine-Scale Dynamics of Human Brain Networks

Networks (connectivity) and dynamics are two key pillars of network neuroscience – an emerging field dedicated to understanding structure and function of neural systems across scales, from neurons to circuits to the whole brain. In this presentation I will review current themes and future directions, including structure/function relationships, use of computational models to map information flow and communication dynamics, and a novel edge-centric approach to map functional connectivity at fine temporal scales. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure and functioning of nervous systems.

This video is part of the SNAC seminar series organized by Mac Shine, Joe Lizier, and Ben Fulcher (The University of Sydney).

Laser Pulses for Ultrafast Signal Processing Could Make Computers a Million Times Faster

Simulating complex scientific models on the computer or processing large volumes of data such as editing video material takes considerable computing power and time. Researchers from the Chair of Laser Physics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and a team from the University of Rochester in New York have demonstrated how the speed of fundamental computing operations could be increased in the future to up to a million times faster using laser pulses. Their findings were published on May 11, 2022, in the journal Nature.

The computing speed of today’s computer and smartphone processors is given by field-effect transistors. In the competition to produce faster devices, the size of these transistors is constantly decreased to fit as many together as possible onto chips. Modern computers already operate at the breathtaking speed of several gigahertz, which translates to several billion computing operations per second. The latest transistors measure only 5 nanometers (0.000005 millimeters) in size, the equivalent of not much more than a few atoms. There are limits to how far chip manufacturers can go and at a certain point, it won’t be possible to make transistors any smaller.

Physicists are working hard to control electronics with light waves. The oscillation of a light wave takes approximately one femtosecond, which is one-millionth of one billionth of a second. Controlling electrical signals with light could make the computers of the future over a million times faster, which is the aim of petahertz signal processing or light wave electronics.

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