Newly discovered materials can be used to make better solar cells, batteries, computer chips, and more.
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.
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Skoltech scientists have found a way to improve the most widely used technology for producing single-walled carbon nanotube films—a promising material for solar cells, LEDs, flexible and transparent electronics, smart textiles, medical imaging, toxic gas detectors, filtration systems, and more. By adding hydrogen gas along with carbon monoxide to the reaction chamber, the team managed to almost triple carbon nanotube yield compared with when other growth promoters are used, without compromising quality.
Until now, low yield has been the bottleneck limiting the potential of that manufacturing technology, otherwise known for high product quality. The study has been published in the Chemical Engineering Journal.
Although that is not how they’re really made, conceptually, nanotubes are a form of carbon where sheets of atoms in a honeycomb arrangement—known as graphene—are seamlessly rolled into hollow cylinders.
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.”
Heating and cooling needs account for 50 percent of energy demand and using the Sun’s heat directly is an effective to curb fossil fuel requirements.
Naked Energy, a UK-based solar energy startup, has a different way of tapping into the renewable source. Its approach can be classified as a solar thermal energy system which utilizes the heat from the Sun and uses it directly for heating applications instead of trying to store it in a battery.
The rapid rise of solar as a source of energy has been fueled by the declining pricing of photovoltaic (PV) cells. This approach is easy to scale and has helped set up massive solar energy farms in different parts of the world. However, the solution needs large investments in energy storage.
For the first time, researchers have succeeded in selectively exciting a molecule using a combination of two extreme-ultraviolet light sources and causing the molecule to dissociate while tracking it over time. This is another step towards specific quantum mechanical control of chemical reactions, which could enable new, previously unknown reaction channels.
The interaction of light with matter, especially with molecules, plays an important role in many areas of nature, for example in biological processes such as photosynthesis. Technologies such as solar cells use this process as well.
On the Earth’s surface, mainly light in the visible, ultraviolet or infrared regime plays a role here. Extreme-ultraviolet (XUV) light—radiation with significantly more energy than visible light —is absorbed by the atmosphere and therefore does not reach the Earth’s surface. However, this XUV radiation can be produced and used in the laboratory to enable a selective excitation of electrons in molecules.
From Wi-Fi-connected home security systems to smart toilets, the so-called Internet of Things brings personalization and convenience to devices that help run homes. But with that comes tangled electrical cords or batteries that need to be replaced. Now, researchers reporting in ACS Applied Energy Materials have brought solar panel technology indoors to power smart devices. They show which photovoltaic (PV) systems work best under cool white LEDs, a common type of indoor lighting.
Indoor lighting differs from sunlight. Light bulbs are dimmer than the sun. Sunlight includes ultraviolet, infrared and visible light, whereas indoor lights typically shine light from a narrower region of the spectrum. Scientists have found ways to harness power from sunlight, using PV solar panels, but those panels are not optimized for converting indoor light into electrical energy.
Some next-generation PV materials, including perovskite minerals and organic films, have been tested with indoor light, but it’s not clear which are the most efficient at converting non-natural light into electricity; many of the studies use various types of indoor lights to test PVs made from different materials. So, Uli Würfel and coworkers compared a range of different PV technologies under the same type of indoor lighting.
The United Arab Emirates has launched the Al Dhafra solar farm – now the world’s largest single-site solar farm – ahead of COP28.
The 2-gigawatt (GW) solar farm is 22 miles (35 km) from Abu Dhabi and features almost 4 million bifacial solar panels. It will power nearly 200,000 homes and eliminate over 2.4 million tonnes of carbon emissions annually.
It created 4,500 jobs during the peak of the construction phase, and the solar panels were installed at an average rate of 10 megawatts (MW) a day during construction.
Terabase Energy has successfully completed its first commercial solar installation using Terafab, its automatic solar-installing robot.
The Terafab robot – aka the “construction automation platform” – installed 17 megawatts (MW) of the 225 MW White Wing Ranch project in Yuma County, Arizona, on which solar tech company Terabase Energy is working alongside developer Leeward Renewable Energy (LRE) and contractor RES.
The Terafab robot completely eliminates the manual lifting of heavy steel tubes and solar panels – an industry first. Terabase Energy says that its robot achieved labor productivity improvements of 25% compared with manual installation, and the setup improves working conditions for solar technicians, as they’re housed in shaded and cooled conditions. The robot’s precision also enables the 100% return of solar panel packaging for reuse by the manufacturer.
A robotic AI-Chemist@USTC makes useful Oxygen generation catalyst with Martian meteorites. (Image by AI-Chemist Group at USTC)
Immigration and living on Mars have long been depicted in science fiction works. But before dream turns into reality, there is a hurdle man has to overcome — the lack of essential chemicals such as oxygen for long-term survival on the planet. However, hope looms up thanks to recent discovery of water activity on Mars. Scientists are now exploring the possibility of decomposing water to produce oxygen through electrochemical water oxidation driven by solar power with the help of oxygen evolution reaction (OER) catalysts. The challenge is to find a way to synthesize these catalysts in situ using materials on Mars, instead of transporting them from the Earth, which is of high cost.
To tackle this problem, a team led by Prof. LUO Yi, Prof. JIANG Jun, and Prof. SHANG Weiwei from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), recently made it possible to synthesize and optimize OER catalysts automatically from Martian meteorites with their robotic artificial intelligence (AI)-chemist.
