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Sodium Is Cheap, Abundant, and Now Powering Batteries That Could Rival Lithium
Sodium-ion batteries are rapidly gaining on lithium in consistency and fast charging.
As demand for electric vehicles and grid storage surges, battery makers are searching for alternatives to lithium that are cheaper and easier to source. New research suggests sodium-ion batteries, which have long been heralded as a promising alternative, may be maturing faster than expected.
Lithium-ion batteries dominate the market thanks to their excellent energy density and well-developed supply chains. But lithium prices have been swinging wildly in recent years, and there are concerns about lithium market concentration—the vast majority of extraction happens in a handful of countries, like Australia and Chile, and China dominates lithium processing.
This has driven interest in novel chemistries. Sodium is a leading contender due its low price and abundant deposits all over the globe, but performance concerns have held back adoption.
Chinese companies, however, have begun to take sodium batteries seriously. And in a new analysis in Cell Reports Physical Science, German scientists found that cells made by the Chinese manufacturer HiNa compare favorably to the lithium-ion batteries Tesla uses in its cars.
“The combination of good uniformity, high power capability, and strong low‑temperature performance makes these cells attractive for stationary storage, grid services, and shorter‑range or commercial vehicles where potential lower cost and resource availability matter more than maximum driving range,” Moritz Schütte, a battery researcher at RWTH Aachen University who co-led the study, said in a press release.
A good battery needs uniform cells. If some cells are weaker than others, it can degrade the entire battery over multiple charge and discharge cycles, and it also makes it harder to control and optimize power flow in and out of the pack. It’s also a key indicator of a mature production process.
To see how the HiNa batteries stacked up, the researchers tested 120 individual sodium-ion cells using a non-destructive technique called impedance spectroscopy. Here, they applied a current across various frequencies to probe the internal physical chemical properties of the device.
The team then tested the cells at varying currents and temperatures from -4 to 113 degrees Fahrenheit to get a picture of their power performance under a wide range of conditions. They also used X-rays to probe the batteries’ internal structure, before opening them up to analyze the size and composition of various components in more detail.
Across the 120 cells, resistance varied by just 5.3 percent—a level of consistency the researchers say is comparable to well-established lithium-ion production lines. And while fast charging can rapidly degrade performance, the cells maintained full capacity at charge rates high enough to fill the battery in just 15 minutes.
Low temperature also reduces capacity by slowing down a battery’s chemical reactions. But the researchers found the HiNa device discharged over 80 percent of its usable energy at -4 degrees Fahrenheit after charging at roughly room temperature. That figure fell to 56 percent, however, when it was also charged at -4 degrees Fahrenheit (as opposed to room temperature).
The batteries didn’t get a universally glowing report. The team found energy density still lags the best lithium-ion cells, and as noted, charging at low temperatures remains a problem. “The high‑power performance was better than one might expect from an early commercial sodium‑ion product,” said Schütte. “However, for applications that require frequent charging at low ambient temperatures, appropriate thermal management or operating strategies will be important.”
But given the technology’s other attractive characteristics, the battery industry appears to be forging ahead. Chinese automaker Changan Automobile recently began selling the Nevo A06, which is fitted with a sodium-ion battery made by CATL, the world’s dominant battery manufacturer.
According to Bloomberg, CATL’s chief technology officer recently told a media event that the company will begin mass-producing sodium-ion cells in the fourth quarter of this year, declaring “the era of sodium and lithium shining together has arrived.”
A typical SUV powered by a sodium-ion battery would only have a range of around 215 miles, compared to the 250 to 370 miles for a lithium-ion powered vehicle, according to calculations from the International Energy Agency. But that’s nothing to turn your nose up at, particularly considering the fast-charging capabilities discovered by the RWTH researchers.
Whether the technology establishes a commercial foothold may well depend more on the vagaries of geopolitics than its inherent qualities. But cheaper, easier to source batteries can only be a win for the planet.
The post Sodium Is Cheap, Abundant, and Now Powering Batteries That Could Rival Lithium appeared first on SingularityHub.
Událo se v týdnu 22/2026
Dnes večer se podívejte na oblohu
Šílený biologický kompas
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Botnet of more than 17 million devices dismantled
Authorities in the Netherlands said they dismantled a botnet that comprised more than 17 million devices and were managed by 200 servers in a joint operation by the police and the National Cyber Security Center.
The action, announced Thursday, came about after a security researcher reported the sprawling network to authorities. The host infrastructure was located in the Netherlands.
Used for criminal purposes“The police then seized several botnet servers from a hosting provider for investigation,” the NCSC said. “The botnet was taken offline by the provider because it was used for criminal purposes.”
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Open source Euro-Office productivity suite to launch June 9
The Euro-Office open source productivity app suite will be available with the first stable release of the software on June 9.
Euro-Office was unveiled in March with the aim of providing a modern, open source alternative to Microsoft and Google software for European organizations increasingly wary of a dependence on US-based suppliers.
Euro-Office consists of four browser-based applications: a document editor, spreadsheet program, presentation tool, and a PDF editor, with each application enabling collaborative document editing. It supports Microsoft Office file formats DOCX, PPTX and XLSX, as well as Open Document Format (ODF) files such as ODS, ODT and ODP.
The software is intended to be integrated into collaboration solutions such as file-sharing platforms, online wikis or project management tools, according to Nextcloud, one of several European organizations involved in the Euro-Office project.
Nextcloud will add Euro-Office to its Nextcloud Office next month, where it will be available as an “equal option” alongside an existing open-source productivity suite based on Collabora’s software, Nextcloud CEO Frank Karlitschek said in a briefing. Pricing will depend on factors such as use case and deployment scale, but will sit in a similar range to the Collabora version.
Nextcloud plans to add desktop and mobile apps “later this summer,” said Karlitschek; these will save documents locally and sync to cloud storage tools that customers choose.
German cloud hosting provider Ionos will also integrate Euro-Office into its Nextcloud Workspace subscription at no extra cost, and as an optional paid add-on to its HiDrive and Managed Nextcloud subscriptions. (Pricing information was not immediately available.)
Nextcloud and Ionos are currently hiring a “dedicated development team” to work on Euro-Office, Nextcloud said in a blog post Thursday. Other software vendors, including Xwiki and Office.eu, are expected to incorporate Euro-Office into their products in the coming months, too.
Euro-Office is built on the open-source code base of OnlyOffice and distributed under the GNU Affero General Public License v3 (AGPL v3).
Following the launch announcement, OnlyOffice — which is owned by Ascensio System SIA — alleged in March that Euro-Office violated its licensing terms and infringed its copyright, due to a lack of attribution to OnlyOffice.
Karlitschek said this week that the conflict with OnlyOffice is “now resolved,” following an agreement to provide attribution to OnlyOffice in Euro-Office. “We came to an agreement that the OnlyOffice people required only attribution, that you basically mention that the code is partly based on top of OnlyOffice, and we are happy to do it.”
But an OnlyOffice spokesperson denied a specific agreement had yet been reached. “OnlyOffice has not entered into any agreement with the Euro-Office project,” said Galina Goduhina, commercial director at OnlyOffice.
“Our licensing framework is clearly defined, and compliance with its terms is not optional,” Goduhina said. “We will continue to assess the situation based on actual use of our technology.
“This situation goes beyond attribution— it concerns transparency of technology origin, respect for the original developer — and does not meet the standards of responsible partnership we expect,” Goduhina said. “OnlyOffice remains focused on supporting its users, customers and partners and continuing to develop reliable, enterprise-grade document solutions.”
OnlyOffice recently published a blog post outlining its license and trademark policy in more detail.
A Nextcloud spokesperson said the blog post indicated a change in the OnlyOffice license to “bring it in line” with AGPLv3.
“We applaud the removal of the conflicting requirements around the trademark, aligning with our opinion and that of the licensing experts in the open source community,” the spokesperson said. “We will adopt their changes as they are being made to the code, of course ensuring the license compliance is preserved. With these changes we consider the matter resolved.”
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Meta considers becoming a hyperscaler
Meta has raised the possibility that it could be joining the likes of Amazon, Microsoft and Google in offering cloud services at some point in the future — although potential customers shouldn’t be adding the company to their suppliers list just yet.
When asked about plans for offering such services at the company’s annual shareholders meeting, Meta CEO Mark Zuckerberg said there was a possibility of the company competing with the major hyperscalers. “It’s definitely on the table.”
He explained that different companies were approaching Meta asking for the company to offer an API service or to buy compute services at a premium price. “We haven’t done it yet, because we think we have a use for the compute, but when we feel we have overbuilt, then that is an option that we have.”
Meta has been active in developing its data centers over the past few years, so there will be a possibility of some excess capacity. It is also developing its own AI chips.
For the moment, though, the company may well need all the capacity it can build: Zuckerberg said that the launch of Muse Spark, a new AI model from Meta Superintelligence Lab, had resulted in large increases in Meta’s AI usage.
This article first appeared on Network World.
AI hiring monoculture is delivering racial bias at scale
A research project examining AI-driven recruitment hires across the US has revealed a systemic racial bias.
Researchers from Stanford University found a startling pattern of racial disparities when looking at the interview offers resulting from 4 million job applications submitted to 156 employers. The situation is aggravated by the “monoculture” in AI hiring software: More than 90% of US employers are screening job applicants with software, with 60% of Fortune 500 companies using the same tool, HireVue, the researchers found.
Applicants who applied to multiple companies using AI had all their applications rejected more often than would be expected if each company’s screening methods were independent. They calculated that Black and Asian candidates were rejected in greater numbers than baseline figures would suggest. According to the survey, 29,000 more Asians would have been interviewed if AI had not been deployed.
The researchers are concerned about the way in which AI is being used. “AI screening tools bring together three properties that should not co-exist in high-stakes decision-making: They are pervasively adopted, highly consequential, and opaque to the public,” they said in a news release presenting their work.
The effect of this will lead to workplaces dominated by a monoculture which may not be beneficial for companies going forward.
This article first appeared on CIO.
Obchodní rejstřík po více než 10 letech mění design. Spojí se s dalšími dvěma portály a nabídne tmavý režim
WWDC, Apple, and AI: Waiting for the gift
I will sit right down (waiting for the gift of sound and vision)
And I will sing (waiting for the gift of sound and vision)
— David Bowie
Apple is planning to sponsor and present 14 AI research papers at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in Denver next week, just days before it introduces major new AI features at its Worldwide Developer Conference (WWDC).
The fresh research explores topics such as using LLMs in image generation, quality testing, and user interface prototyping. For months, supply chain rumors have hinted at a radical evolution for the ubiquitous AirPods in the form of built-in ambient cameras. With this in mind, it’s noteworthy that one of the research papers, “From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs,” specifically seems to cater for such use cases.
Accessibility for the peopleIn application, this tech promises profound potential for accessibility. It suggests that someone with limited vision might be able to get their AirPods to guide them through an unfamiliar room. This is something that should fit well inside the company’s ongoing narrative around machine vision intelligence and accessibility.
Accessibility is central to a second presentation to be made during the Generative AI for Sign Language Workshop at the conference. Led by Apple’s Colin Lea, who presented a session on speech tech for people with speech disabilities at a similar event, this focus on machine vision intelligence and accessibility is entirely deliberate.
Indeed, even though the industry and critics condemn Apple for lagging behind others in the AI space, the publication of these 14 papers at a key industry session just before WWDC shows the company has been doing a great deal of foundational work behind the scenes. We expect this work to bear its first fruit at WWDC, and it is important to understand the disclosures as a power move. Apple is using the show to celebrate its strengths in AI development, and given its decade work on Apple Car, many of those strengths relate to machine vision intelligence.
Apple is so advanced in the field it is already deploying advanced models that empower consumers. Just last week, it promised to introduce a new tool called Image Explorer in VoiceOver to help partially sighted customers later this year. Among many other features, this will arrive alongside a system to let disabled users control compatible wheelchairs with spoken word commands.
Apple is pushing boundaries all the way. Its paper “VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models,” proves it is actively refining models to process live video instantly on consumer hardware.
What matters, the human or the machine?The difference between Apple and its competitors is deep and philosophical. I’d argue that while others build cloud-dependent chatbots, Apple is embedding AI tools that solve real human problems in its systems.
This extends to its plans at WWDC, where it will introduce a raft of AI tools made with help from Google Gemini and a host of AI services it has developed in house. The latter will include a great many accessibility tools of the type it will discuss at the CVPR event, the beauty of which being that they will run privately and on-device. You could argue that while other tech giants are using AI to automate white-collar jobs or build a surveillance dystopia, Apple is searching for applications of machine intelligence that solve real human problems.
The company seems pretty realistic about the ongoing AI transformation. It recognizes that its own ecosystem must become a peer player in the emerging AI-augmented environment the tech industry seems intent on building.
With that in mind, Apple is willing to engage in strategic, mutually beneficial partnerships, such as permitting Siri to use third-party AI services to handle requests. But even as it does that, it is also focusing on those areas in which it can make a unique difference, such as the accessibility features Apple as a platform has always provided.
Open upAs the Vision Pro demonstrated, and as these mythical video-enabled AirPods will in the future suggest, computers are steadily getting smarter. So, the way we use them is also changing as we move away from the rigid boundaries of keyboards, mice, and touchscreens. Apple’s quest for ambient computing began long before the sudden gold rush for generative AI chatbots.
In the end, as the latter services become commodified, the way humans interact with them will define the next generation of hardware. That’s exciting for Apple, given that product design is where it excels. The era of sound and vision may finally have arrived.
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