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With dubstep as the soundtrack and neon lighting as the backdrop, Elon Musk handed the first Cybertrucks over to a select group of customers that included Reddit co-founder and VC fund Seven Seven Six founder Alexis Ohanian and Trousdale Ventures founder and CEO Phillip Sarofim.

The live streamed portion of the Tesla Cybertruck delivery event was a short affair — around 30 minutes. But the event still had all the traditional trappings one has come to expect from Tesla: the pomp and pumpy music, VIP guests and of course, Musk.

The Tesla Cybertruck deliveries come at least six years since Musk first tweeted about building a truck and four years since he debuted the futuristic-looking pickup.

Google DeepMind researchers have discovered 2.2mn crystal structures that open potential progress in fields from renewable energy to advanced computation, and show the power of artificial intelligence to discover novel materials.

The trove of theoretically stable but experimentally unrealised combinations identified using an AI tool known as GNoME is more than 45 times larger than the number of such substances unearthed in the history of science, according to a paper published in Nature on Wednesday.

The researchers plan to make 381,000 of the most promising structures available to fellow scientists to make and test their viability in fields from solar cells to superconductors. The venture underscores how harnessing AI can shortcut years of experimental graft — and potentially deliver improved products and processes.

An #AI tool that has discovered 2.2 million new materials, and helps to predict material stability.


AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies.

Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, and behind each new, stable crystal can be months of painstaking experimentation.

Today, in a paper published in Nature, we share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.

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.”

Electrocatalysis expands the ability to generate industrially relevant chemicals locally and on-demand with intermittent renewable energy, thereby improving grid resiliency and reducing supply logistics. Herein, we report the feasibility of using molecular copper boron-imidazolate cages, BIF-29(Cu), to enable coupling between the electroreduction reaction of CO2 (CO2RR) with NO3– reduction (NO3RR) to produce urea with high selectivity of 68.5% and activity of 424 μA cm–2. Remarkably, BIF-29(Cu) is among the most selective systems for this multistep C–N coupling to-date, despite possessing isolated single-metal sites. The mechanism for C–N bond formation was probed with a combination of electrochemical analysis, in situ spectroscopy, and atomic-scale simulations. We found that NO3RR and CO2RR occur in tandem at separate copper sites with the most favorable C–N coupling pathway following the condensation between *CO and NH2OH to produce urea. This work highlights the utility of supramolecular metal–organic cages with atomically discrete active sites to enable highly efficient coupling reactions.

In a world that seems inexorably drawn towards an all-electric future, Toyota has consistently taken a different road. The Japanese automaker remains skeptical about an exclusive reliance on electric vehicles (EVs). While it’s true that Toyota has some exciting EVs in the pipeline for the upcoming year, they are also actively exploring alternative energy sources. However, a recent development could potentially turn the tables on the EV revolution — an ammonia-powered engine for passenger vehicles.

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A new electrocatalyst made of nickel (Ni), iron (Fe) and silicon (Si) that decreases the amount of energy required to synthesize H2 from water has been manufactured in a simple and cost-effective way, increasing the practicality of H2 as a clean and renewable energy of the future.

Hydrogen is a highly combustible gas that can help the world achieve its clean energy goals if manufactured in an environmentally responsible way. The primary hurdle to creating hydrogen gas from water is the large amount of energy required for the electrolysis of water, or splitting into hydrogen gas (H2) and oxygen (O2).

Most H2 produced today is derived from fossil fuels, which contributes to global warming. Manufacturing H2 from water through the (HER) requires the use of a catalyst, or agent that lowers the amount of energy required for a chemical reaction. Until recently, these catalysts were made up of , like platinum, reducing the cost-efficiency and practicality of clean hydrogen production.

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 “” of quarks and gluons.