Lifeboat Foundation

Over centuries of painstaking laboratory work, chemists have synthesized several hundred thousand inorganic compounds — generally speaking, materials not based on the chains of carbon atoms that are characteristic of organic chemistry. Yet studies suggest that billions of relatively simple inorganic materials are still waiting to be discovered³. So where to start looking?

Many projects have tried to cut down on time spent in the lab tinkering with various materials by computationally simulating new inorganic materials and calculating properties such as how their atoms would pack together in a crystal. These efforts — including the Materials Project based at the Lawrence Berkeley National Laboratory (LBNL) in Berkeley, California — have collectively come up with about 48,000 materials that they predict will be stable.

Google DeepMind has now supersized this approach with an AI system called graph networks for materials exploration (GNoME). After training on data scraped from the Materials Project and similar databases, GNoME tweaked the composition of known materials to come up with 2.2 million potential compounds. After calculating whether these materials would be stable, and predicting their crystal structures, the system produced a final tally of 381,000 new inorganic compounds to add to the Materials Project database¹.

Northwestern University researchers have raised the standards again for perovskite solar cells with a new development that helped the emerging technology hit new records for efficiency.

The findings, published today (Nov. 17) in the journal Science, describe a dual-molecule solution to overcoming losses in efficiency as sunlight is converted to energy. By incorporating first, a molecule to address something called surface recombination, in which electrons are lost when they are trapped by defects—missing atoms on the surface, and a second molecule to disrupt recombination at the interface between layers, the team achieved a National Renewable Energy Lab (NREL) certified efficiency of 25.1% where earlier approaches reached efficiencies of just 24.09%.

“Perovskite solar technology is moving fast, and the emphasis of research and development is shifting from the bulk absorber to the interfaces,” said Northwestern professor Ted Sargent. “This is the critical point to further improve efficiency and stability and bring us closer to this promising route to ever-more-efficient solar harvesting.”

Researchers investigate whether dark matter particles actually are produced inside a jet of standard model particles.

The existence of dark matter is a long-standing puzzle in our universe. Dark matter makes up about a quarter of our universe, yet it does not interact significantly with ordinary matter. The existence of dark matter has been confirmed by a series of astrophysical and cosmological observations, including in the stunning recent pictures from the James Webb Space Telescope. However, up to date, no experimental observation of dark matter has been reported. The existence of dark matter has been a question that high energy and astrophysicists around the world have been investigating for decades.

Advancements in Dark Matter Research.

Now that’s forward thinking but it’ll be a long while. But that’s science!

Nothing escapes black holes, but over the decades researchers have worked out ways to get some energy out of them. Some happen naturally, and some energy can be stolen in clever ways. Now, researchers have worked out novel approaches to use black holes as power sources, suggesting that they can be used as either batteries or nuclear reactors.

The assumption of this study is a Schwarzschild black hole – one that has no electric charge or angular momentum. So, it’s neutral and it doesn’t spin. By dropping charged particles on it, the black holes can be made to have a static electric field – and suddenly, you have the makings of a battery.

Continue reading “Black Holes Could Be Used As Batteries Or Nuclear Reactors” »

New research from North Carolina State University and Michigan State University opens a new avenue for modeling low-energy nuclear reactions, which are key to the formation of elements within stars. The research lays the groundwork for calculating how nucleons interact when the particles are electrically charged.

The work appears in Physical Review Letters.

Predicting the ways that atomic nuclei —clusters of protons and neutrons, together referred to as nucleons—combine to form larger compound nuclei is an important step toward understanding how elements are formed within stars.

German researchers hoping to be the first to successfully measure quantum flickering directly in a completely empty vacuum are setting their sights on 2024.

If successful, the first-of-their-kind experiments are expected to either confirm the existence of quantum energy in the vacuum, a core concept of quantum electrodynamics (QED), or potentially result in the discovery of previously unknown laws of nature.

Quantum Flickering, Ghost Particles, and Energy in the Vacuum.

Physicists from the Eötvös Loránd University (ELTE) have been conducting research on the matter constituting the atomic nucleus utilizing the world’s three most powerful particle accelerators. Their focus has been on mapping the “primordial soup” that filled the universe in the first millionth of a second following its inception.

Intriguingly, their measurements showed that the movement of observed particles bears resemblance to the search for prey of marine predators, the patterns of climate change, and the fluctuations of stock market.

In the immediate aftermath of the Big Bang, temperatures were so extreme that atomic nuclei could not exists, nor could nucleons, their building blocks. Hence, in this first instance the universe was filled with a “primordial soup” of quarks and gluons.

Physicists at Martin Luther University Halle-Wittenberg (MLU) and Central South University in China have demonstrated that, combining specific materials, heat in technical devices can be used in computing. Their discovery is based on extensive calculations and simulations. The new approach demonstrates how heat signals can be steered and amplified for use in energy-efficient data processing.

The team’s research findings have been published in the journal Advanced Electronic Materials (“PT-Symmetry Enabled Spintronic Thermal Diodes and Logic Gates.”).

Information signals are encoded as thermal spin waves (red arrows). Logical operations are realized with two magnetic strips (signal conductors) and precisely controlled with current pulses in a spacer (platinum). (Image: Berakdar group)

Some metals seem to carry electric currents without electrons, defying canonical understanding.

For 50 years, physicists have understood current as a flow of charged particles. But a new experiment has found that in at least one strange material, this understanding falls apart.