Nissan just announced a solar-powered EV based on the Nissan Sakura for this year’s Japan Mobility Show.
Built using the super popular kei car as a platform, the solar-powered Sakura promises ‘free’ motoring thanks to its solar panels.
In theory, you can drive it for a year without ever plugging it in.
An environmental chemistry laboratory at Duke University has solved a longstanding mystery of the origin of high levels of PFAS—so-called “forever chemicals”—contaminating water sources in the Piedmont region of North Carolina.
By sampling and analyzing sewage in and around Burlington, NC, the researchers traced the chemicals to a local textile manufacturing plant. The source remained hidden for years because the facility was not releasing chemical forms of PFAS that are regulated and monitored. The culprit was instead solid nanoparticle PFAS “precursors” that degrade into the chemicals that current tests are designed to detect.
Incredibly, these precursors were being released into the sewer system at concentrations up to 12 million parts-per-trillion—approximately 3 million times greater than the Environmental Protection Agency’s recently-enacted drinking water regulatory limit for certain types of PFAS.
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.
Mining the future – why technological development needs sustainable mines
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.
Lowering arsenic in drinking water can slash mortality by up to 50 percent, even for people exposed for decades.
Decades of meticulous well testing and urine monitoring show that safer wells rapidly translate into declining health risks.
Long-term evidence linking arsenic reduction to lower mortality.
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.