Graphene is a remarkable “miracle” material, consisting of a single, atom-thin layer of tightly connected carbon atoms that remains both stable and highly conductive. These qualities make it valuable for many technologies, including flexible screens, sensitive detectors, high-performance batteries, and advanced solar cells.
A new study, carried out by the University of Göttingen in collaboration with teams in Braunschweig and Bremen in Germany, as well as Fribourg in Switzerland, shows that graphene may be even more versatile than previously believed.
For the first time, researchers have directly identified “Floquet effects” in graphene. This finding settles a long-running question: Floquet engineering – an approach that uses precise light pulses to adjust a material’s properties – can also be applied to metallic and semi-metallic quantum materials like graphene. The work appears in Nature Physics.
The sun produces more power than 100 trillion times humanity’s entire electricity generation. In orbit, solar panels can be eight times more productive than their Earth-bound counterparts, generating energy almost continuously without the need for heavy battery storage. These facts have led a team of Google researchers to ask what if the best place to scale artificial intelligence isn’t on Earth at all, but in space?
Project Suncatcher, Google’s latest space mission, envisions constellations of solar-powered satellites equipped with processors and connected by laser-based optical links. The concept tackles one of AI’s most pressing challenges, the enormous energy demands of large-scale machine learning systems, by tapping directly into the solar system’s ultimate power source. A new research paper published by Google describes their progress toward addressing the technical challenges.
The proposed system would operate in a sun-synchronous low Earth orbit, where satellites remain in almost constant sunlight. This orbital choice maximizes solar energy collection while minimizing battery requirements. However, making space-based AI infrastructure viable requires solving several formidable engineering challenges.
Southwest Research Institute identified a security vulnerability in a standard protocol governing communications between electric vehicles (EV) and EV charging equipment. The research prompted the Cybersecurity & Infrastructure Security Agency (CISA) to issue a security advisory related to the ISO 15118 vehicle-to-grid communications standard.
Researchers at the University of California, Irvine and NASA’s Jet Propulsion Laboratory have identified stormlike circulation patterns beneath the Antarctic ice shelves that are causing aggressive melting, with major implications for global sea level rise projections.
In a paper published recently in Nature Geoscience, the scientists say their study is the first to examine ocean-induced ice shelf melting events from a weather timescale of just days versus seasonal or annual timeframes. This enabled them to match “ocean storm” activity with intense ice melt at Thwaites Glacier and Pine Island Glacier in the climate change-threatened Amundsen Sea Embayment in West Antarctica.
The research team relied on climate simulation modeling and moored observation tools to gain 200-meter-resolution pictures of submesoscale ocean features between 1 and 10 kilometers across, tiny in the context of the vast ocean and huge slabs of floating ice in Antarctica.
Researchers have successfully performed the world’s first Milky Way simulation that accurately represents more than 100 billion individual stars over the course of 10 thousand years. This feat was accomplished by combining artificial intelligence (AI) with numerical simulations. Not only does the simulation represent 100 times more individual stars than previous state-of-the-art models, but it was produced more than 100 times faster.
Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, the study represents a breakthrough at the intersection of astrophysics, high-performance computing, and AI. Beyond astrophysics, this new methodology can be used to model other phenomena such as climate change and weather patterns.
Manufacturing sustainable aviation fuel with CO₂ byproducts of ethanol production could reduce carbon intensity by more than 80% compared to fossil fuels.
The CO2 released from corn during ethanol production could actually be a valuable, underutilized resource for producing aviation fuel rather than a waste byproduct, according to a study published in the SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy.
Unlike the CO₂ from coal plants or cement kilns, which requires a lot of energy to capture, fermentation to produce ethanol releases very pure streams containing 85% CO₂ by volume or higher. As the corn plants sequestered CO₂ from the air, capturing the CO₂ released from fermentation and using it as fuel would reuse CO₂ without adding more to the atmosphere.
Elon Musk just made a bold announcement that could completely redefine Tesla’s future — but almost no one noticed. At the 2025 Tesla Shareholder Meeting, Elon revealed a deeper vision that goes far beyond cars. From AI and humanoid robots to clean energy and automation, Tesla is positioning itself as the driving force behind humanity’s next great leap.
In this video, Chris Smedley and the Ideal Wealth Grower team break down the hidden message behind Elon’s words, why the singularity may already be unfolding, and how Tesla’s shift toward artificial intelligence could reshape the global economy — and your investment strategy. Stay tuned till the end to discover why this could be the most important turning point in Tesla’s history.
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