Lifeboat Foundation

Researchers have created an unusual new alloy made up of not two, but five different metals, and put it to work as a catalyst. The new material is two-dimensional, and was able to convert carbon dioxide into carbon monoxide effectively, potentially helping to turn the greenhouse gas into fuels.

The new alloy belongs to a class of materials called transition metal dichalcogenides (TMDCs), which are, as the name suggests, made up of combinations of transition metals and chalcogens. Extremely thin films of TMDCs have recently shown promise in a range of electronic and optical devices, but researchers on the new study wondered if they could also be used as catalysts for chemical reactions.

The thinking goes that because reactions occur on the surface of a catalyst, materials with high surface areas will be more effective catalysts. And as sheets only a few atoms thick, TMDCs are almost nothing but surface area.

The Large Hadron Collider has a lot of tasks ahead of it. Next stop: investigating the Big Bang.

The truth is, we don’t really know because it takes huge amounts of energy and precision to recreate and understand the cosmos on such short timescales in the lab.

But scientists at the Large Hadron Collider (LHC) at CERN, Switzerland aren’t giving up.

Continue reading “Thousands of physicists are working together to redefine the cosmos” »

Three years ago, Arthur Ashkin won the Nobel Prize for inventing optical tweezers, which use light in the form of a high-powered laser beam to capture and manipulate particles. Despite being created decades ago, optical tweezers still lead to major breakthroughs and are widely used today to study biological systems.

However, optical tweezers do have flaws. The prolonged interaction with the laser beam can alter molecules and particles or damage them with excessive heat.

Researchers at The University of Texas at Austin have created a new version of optical tweezer technology that fixes this problem, a development that could open the already highly regarded tools to new types of research and simplify processes for using them today.

Neil deGrasse Tyson explains the early state of our Universe. At the beginning of the universe, ordinary space and time developed out of a primeval state, where all matter and energy of the entire visible universe was contained in a hot, dense point called a gravitational singularity. A billionth the size of a nuclear particle.

While we can not imagine the entirety of the visible universe being a billion times smaller than a nuclear particle, that shouldn’t deter us from wondering about the early state of our universe. However, dealing with such extreme scales is immensely counter-intuitive and our evolved brains and senses have no capacity to grasp the depths of reality in the beginning of cosmic time. Therefore, scientists develop mathematical frameworks to describe the early universe.

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The results open possibilities for studying gravity’s effects on relatively large objects in quantum states.

To the human eye, most stationary objects appear to be just that — still, and completely at rest. Yet if we were handed a quantum lens, allowing us to see objects at the scale of individual atoms, what was an apple sitting idly on our desk would appear as a teeming collection of vibrating particles, very much in motion.

In the last few decades, physicists have found ways to super-cool objects so that their atoms are at a near standstill, or in their “motional ground state.” To date, physicists have wrestled small objects such as clouds of millions of atoms, or nanogram-scale objects, into such pure quantum states.

In fall of 2019, we demonstrated that the Sycamore quantum processor could outperform the most powerful classical computers when applied to a tailor-made problem. The next challenge is to extend this result to solve practical problems in materials science, chemistry and physics. But going beyond the capabilities of classical computers for these problems is challenging and will require new insights to achieve state-of-the-art accuracy. Generally, the difficulty in performing quantum simulations of such physical problems is rooted in the wave nature of quantum particles, where deviations in the initial setup, interference from the environment, or small errors in the calculations can lead to large deviations in the computational result.

In two upcoming publications, we outline a blueprint for achieving record levels of precision for the task of simulating quantum materials. In the first work, we consider one-dimensional systems, like thin wires, and demonstrate how to accurately compute electronic properties, such as current and conductance. In the second work, we show how to map the Fermi-Hubbard model, which describes interacting electrons, to a quantum processor in order to simulate important physical properties. These works take a significant step towards realizing our long-term goal of simulating more complex systems with practical applications, like batteries and pharmaceuticals.

Dual system could lead to compact facilities for particle physics and X-ray analysis.

Scientists develop an energy-efficient strategy to reversibly change ‘spin orientation’ or magnetization direction in magnetite at room temperature.

Over the last few decades, conventional electronics has been rapidly reaching its technical limits in computing and information technology, calling for innovative devices that go beyond the mere manipulation of electron current. In this regard, spintronics, the study of devices that exploit the “spin” of electrons to perform functions, is one of the hottest areas in applied physics. But, measuring, altering, and, in general, working with this fundamental quantum property is no mean feat.

Current spintronic devices — for example, magnetic tunnel junctions — suffer from limitations such as high-power consumption, low operating temperatures, and severe constraints in material selection. To this end, a team of scientists at Tokyo University of Science and the National Institute for Materials Science (NIMS), Japan, has published a study in ACS Nano, in which they present a surprisingly simple yet efficient strategy to manipulate the magnetization angle in magnetite (Fe₃O₄), a typical ferromagnetic material.

## GENERAL FUSION (VANCOUVER) • JUN 16, 2021.

# General Fusion to build its Fusion Demonstration Plant in the UK, at the UKAEA Culham Campus.

*Unlike conventional nuclear power, which involves fission or splitting atoms, the emerging fusion technology promises clean energy where the only emission would be helium, and importantly, no radioactive waste.*

Continue reading “General Fusion to build its Fusion Demonstration Plant in the UK, at the UKAEA Culham Campus” »