We have been dreaming of infinite “solar gasoline” for decades. A new material inspired by plants has just proven that it is possible

Nature has been keeping a secret in broad daylight for millions of years: photosynthesis. For decades, science has pursued the dream of replicating this process to create clean, sustainable fuels, but “artificial photosynthesis” has always run into walls of inefficiency and technical complexity. Until now. In short. A team of Chinese researchers has developed a method that mimics the natural process of transforming carbon dioxide (CO2) and water into the basic components of gasoline. We are no longer talking about abstract theory; It is a system capable of creating “solar fuel” without depending on expensive chemical additives, bringing us closer to the holy grail of renewable energy. The advance, recently published in the magazine Nature Communicationscomes from a joint team of the Chinese Academy of Sciences and the Hong Kong University of Science and Technology. Researchers have designed a new composite material: tungsten trioxide modified with silver atoms (Ag/WO3). The end of chemical “tricks”. The truly revolutionary thing about this “magic dust” is not only its composition, but what it manages to avoid. To date, most attempts at artificial photosynthesis cheated: they used “sacrificial agents”, organic chemical additives (such as triethanolamine) that facilitated the reaction but were irreversibly consumed in the process, making it unsustainable and expensive on a large scale. This new system breaks that barrier. According to the scientific studythe catalyst achieves the light-driven conversion using only pure water (H2O) as an electron donor. No additives, no tricks. The result of this reaction is the efficient production of carbon monoxide (CO). Although it sounds like a harmful substance on its own, in the chemical industry this molecule is pure gold: it is a key intermediate that, mixed with hydrogen, forms the “synthesis gas” necessary to manufacture complex hydrocarbons such as methanol or synthetic gasoline. Air fuel. We are at the gateway to “solar fuels.” The importance of this finding lies in its ability to decarbonize sectors that electric batteries cannot easily cover, such as commercial aviation or heavy shipping. Furthermore, the researchers stand out in their paper who have come up with a “universal strategy”. Its material (Ag/WO3) is not an isolated invention, but a versatile “charger” that can be coupled to various types of catalysts (such as cobalt phthalocyanine, C3N4 or Cu2O) and improve their performance drastically. In fact, by combining this material with cobalt (CoPc), they achieved an efficiency 100 times higher than that of the catalyst acting on its own, equaling the performance of old systems that used polluting additives. It is a pure circular economy: capturing the gas that warms the planet (CO2) and turning it into a valuable resource. The secret is to imitate the leaves. To understand how they have achieved this, you have to look at a tree leaf. In natural photosynthesis, the processes of breaking down water and fixing CO2 are separate. Plants use a molecule called plastoquinone (PQ) to temporarily transport and “store” electrons excited by the sun before using them, acting as an energy buffer. Without this buffer, the electrons would be lost before they could be used. Chinese scientists asked themselves: “Can we build an artificial plastoquinone?” And the answer was tungsten. The developed material works as a bioinspired cargo reservoir: The battery: Under sunlight, tungsten changes its chemical structure (a valence swing from W6+ to W5+), temporarily trapping electrons as if it were a micro-battery. The bridge: When the system needs energy to convert CO2, the silver (Ag) atoms act as a bridge, releasing those stored electrons just at the right moment to recombine with the “gaps” of the catalyst. This solves the big problem of artificial photosynthesis: time and load management. While the water oxidizes, the system “saves” the solar energy to have it ready when the CO2 enters. From the laboratory to the real world. The best thing about this research is that it has not remained a theoretical simulation under perfect lamps. The team built an experimental device equipped with a Fresnel lens (to concentrate light) and took it outside to test it under natural sunlight. The data from the outdoor experiment are revealing: Solar rhythm: The system began to produce detectable gas from 9:00 a.m., reaching its peak production between 1:00 p.m. and 2:00 p.m., faithfully following the intensity of the sun. Durability: The system demonstrated enviable robustness, maintaining its effectiveness over 72-hour test cycles without showing significant downtime. A bridge to the future. As reported by the South China Morning Postthis advancement builds a critical bridge between renewable energy and high-demand industrial applications. The study authors conclude that their work not only eliminates the need for unsustainable sacrificial agents, but provides a versatile design principle for building autonomous photocatalytic systems. Although there is still a way to go to see solar gas stations, the basic science—the mechanism for storing the sun’s energy in a chemical powder—is no longer a theory. Image | freepik Xataka | Germany has had a crazy idea to solve one of the problems of renewables: covering a lake with solar panels

Wall Street has turned on the spigot of infinite money for AI. They have forgotten a small detail: the electrical network

In that equation that the world is trying to solve with AI, there is a half that not many people have noticed: debt. Behind every AI-generated chat and video is a gigantic network of data centers, and those data centers are being financed with a mountain of borrowed money. And therein lies the problem. In what is borrowed. Debt and more debt. According to recent datathe issuance of secured debt linked to data centers in the United States is estimated to be $25.4 billion by 2025. It is 112% more than the previous year. If we add up all the complex financial instruments (known as asset-backed securities (ABS) and commercial mortgage-backed securities (CMBSS)), the snowball is already huge: there are almost $49 billion tied to these securities. Bonuses for everyone. Here there are not only startups asking for loans, no. The technology giants that are setting up these infrastructures – the so-called hyperscalers – are also taking advantage of this mechanism. Companies such as Microsoft, Google, Oracle or Meta have rediscovered the bond market as a source of financing. Better to spend what is not mine. They all have huge amounts of money, but instead of spending their own cash, They have raised 100,000 million dollars in debt issues so far this year. The goal: buy thousands of GPUs and build data centers before the competition. What are you doing, Oracle? If there is a company that embodies the vertigo of this excessive bet, it is Oracle. The company created by Larry Ellison has committed to meeting a Pharaonic $300 billion deal with OpenAI. That has forced it to become the largest issuer of corporate debt (outside the financial sector). The numbers are scary: your total debt has grown to 111.6 billion dollarswhile its cash has dropped by 10,000 million. Citi estimates they’ll need to borrow another $20 billion to $30 billion every year (every year!) for the next three years just to keep building. excessive ambition. There are also examples of startups that are exploiting this facet. One of the clearest is the one from CoreWeavea company famous for renting computing capacity for AI. The company has secured credit lines of $2.5 billion backed by leading investment banks such as JPMorgan. The market message seems clear: “if you’re going to build for AI, here’s the money.” How to get a 30-year mortgage. Analysts of all kinds have been keeping the fly behind their ears for some time, and one of the latest Moody’s reports is a good example. Concrete buildings are usually financed with terms of 20 or 30 years, but the technology inside (such as AI chips) changes radically every 3 or 4 years. Does it make sense to go into debt three decades from now for a technology that evolves so quickly? cheap money. Investors are also agreeing to charge minimal interest, just 1% above what the safe US public debt pays, when they assume that risk. It’s a worrying classic sign of euphoria. There is so much money wanting to enter the sector that those who lend it have lowered their guard and demand very little return for their risk. They firmly believe in the promises of AI while increasingly more analysts warnhorrified, that we are facing an “irrational exuberance.” Having money is no longer enough. All this is already scary, but the real bottleneck for expansion is not even capital or chips, but the electrical grid. As Satya Nadella, CEO of Microsoft, pointed out, there is no power for so many chips. The situation is so worrying that a Deloitte study indicated in a study that there are a seven-year waiting line to connect some data center projects to the electrical grid. And if companies want to obtain financing, they need have guaranteed electricity supply for your data centers. If there is no plug, there is no loan. Big Tech looks for electrons. At OpenAI they already warned of the problem months ago when talking about the “electron gap” describing electrons (energy) as the new oil. Almost all the major companies in the industry are making a move. Google has signed an agreement with TotalEnergies to be delivered 1.5 TWh of electricity over the next 15 years, and Meta did something similar with Treaty Oak Clean Energy to get 385 MW of its solar plants in Louisiana. The bubble before the big question. All of this further increases the fear that the AI ​​bubble will end up bursting in a big way. Meanwhile, the big unknown is whether the demand for artificial intelligence will be capable of paying the immense electrical and financial bill that it is signing today in 5 or 10 years. The credit party continues. In Xataka | While Silicon Valley seeks electricity, China subsidizes it: this is how it wants to win the AI ​​war

It doesn’t give you infinite options so you don’t even think

Mercadona sells more choosing for you. While chains like Carrefour Abruman with up to 20,000 references, Mercadona triumphs in quota and profitability, among other reasons, thanks to their less than 10,000 carefully selected references. The Valencian chain has turned the selection and reduction of catalog into an advantage: by offering less options, eliminates decision fatigue and increases its margins. Why is it important. Mercadona has achieved A net margin that touches 3.9%well above the rest of his rivals. Applies what we could call “spotify formula” to retail: Select and screen instead of accumulating. That also allows you to get more rotation, more control and more margin. The panoramic. Eroski, Carrefour, Alcampo … bet on the variety. Mercadona bets on the selection. It operates with what we could call an “efficient assortment”, based on their own brands developed with what they call their “Totaler suppliers“ It controls so much what is manufactured, as the “how” is manufactured, such as what finally reaches the linear. Spotify avoids navigating among millions of songs with very specific and refined recommendations. Mercadona filters between thousands of products and chooses by the consumer reducing their options. That translates into less than 10,000 products per store in front of competitors that double that amount. Assorted reduction is a general trend, but Mercadona is the one who has opted the most in the last five years (-45% assorted compared to -31% of Eroski, -20% of Carrefour or -14% of Lidl), according to a Kantar study cited by Interempresas. The context. Psychology supports it. Barry Schwartz showed that having too many options can be an initial hook, but When executing they overwhelm us. Is The choice paradox. Reducing them also reduces friction and decision -making time. Less products, less decision fatigue, more satisfaction. In detail. Where you used to choose between eleven oils or six snacks, now choose between two or three. The client, if he trusts, does not have to compare. Do not spend mental energy. Just buy, and continue. Yes, but. The model also has costs. Mercadona withdraws products quite frequently if they do not fit their expectations. Some would be pleasantly popular on other surfaces, but they are not enough in the Mercadona model. It is something similar, since we talk about technology, to what happened with the iPhone Mini: they had around 5% of the annual sales share of the iPhone, something celebrated for many other manufacturers, but Not for Apple, who discontinued him After two generations. Mercadona has not invented the selection and screening, but it has refined the technique of applying it to the supermarket. Deepen. Choosing for the client can be seen as a paternalistic movement, but Mercadona has made it efficiency. When there is overabundance in the environment, well -designed shortage is power. In a world that usually rewards accumulation, Mercadona wins simplifying. In Xataka | Mercadona earns more and more money selling money, no food: the effect of interest rates on their results Outstanding image | Mercadona

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