Lifeboat Foundation

Polymer solar cells, known for their light weight and flexibility, are ideal for wearable devices. Yet, their broader use is hindered by the toxic halogenated solvents required in their production. These solvents pose environmental and health risks, limiting the appeal of these solar cells. Alternative solvents, which are less toxic, unfortunately, lack the same solubility, necessitating higher temperatures and prolonged processing times.

This inefficiency further impedes the adoption of polymer solar cells. Developing a method to eliminate the need for halogenated solvents could significantly enhance the efficiency of organic solar cells, making them more suitable for wearable technology.

In a recently published paper, researchers outline how improving molecular interactions between the polymer donors and the small molecule acceptors using side-chain engineering can reduce the need for halogenated processing solvents.

One of nature’s most common organic materials—lignin—can be used to create stable and environmentally friendly organic solar cells. Researchers at Linköping University and the Royal Institute of Technology (KTH) have now shown that untreated kraft lignin can be used to make solar cells even more environmentally friendly and reliable. The study has been published in the journal Advanced Materials.

Sunlight currently seems to be one of the main sustainable energy sources. Traditional solar cells made from silicon are efficient but have an energy-demanding and complicated manufacturing process that may lead to hazardous chemical spills. Organic solar cells have therefore become a hot research area thanks to their low production cost, light weight and flexibility, and hence have many applications, such as indoor use or attached to clothing to power personal electronic devices.

But one problem is that organic solar cells are made of plastic, or polymers derived from oil. So, although organic, they are not as environmentally friendly as they could be.

When Emiliano Cortés goes hunting for sunlight, he doesn’t use gigantic mirrors or sprawling solar farms. Quite the contrary, the professor of experimental physics and energy conversion at LMU dives into the nanocosmos.

“Where the high-energy particles of sunlight, the photons, meet atomic structures is where our research begins,” Cortés says. “We are working on material solutions to capture and use solar energy more efficiently.”

His findings have great potential as they enable novel solar cells and photocatalysts. The industry has high hopes for the latter because they can make light energy accessible for chemical reactions—bypassing the need to generate electricity. But there is one major challenge to using sunlight, which solar cells also have to contend with, Cortés knows: “Sunlight arrives on Earth ‘diluted,’ so the energy per area is comparatively low.” Solar panels compensate for this by covering large areas.

With a hydrogen production rate of 139 millimoles per hour and per gram of catalyst, the material holds the world record for green hydrogen production with sunlight.

Scharfsinn86/iStock.

Professor Emiliano Cortés, a leading figure in experimental physics and energy conversion at LMU, and Dr. Matías Herrán, a postdoc researcher at the Fritz Haber Institute of the Max Planck Society, delved into the intricate world of nanotechnology to develop high-performance nanostructures that could revolutionize solar energy utilization.

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During power outages, microgrids leverage local renewable sources like rooftop solar panels and small wind turbines for efficient power restoration.

UC-Santa Cruz.

Addressing this common challenge, a research team from the University of California — Santa Cruz led by assistant professor Yu Zhang is employing innovative methods to enhance power systems’ efficiency, dependability, and robustness. For this, they have devised an artificial intelligence (AI) centered strategy to intelligently manage microgrids intelligently, ensuring effective power restoration in the event of outages.

Company releases database with hundreds of thousands of potential new materials.

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.

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.

Continue reading “Millions of new materials discovered with deep learning” »