Tech
Atomic neighborhoods in semiconductors provide new avenue for designing microelectronics
Inside the microchips powering the device you’re reading this on, the atoms have a hidden order all their own. A team led by Lawrence Berkeley National Laboratory (Berkeley Lab) and George Washington University has confirmed that atoms in semiconductors will arrange themselves in distinctive localized patterns that change the material’s electronic behavior.
The research, published in Science, may provide a foundation for designing specialized semiconductors for quantum-computing and optoelectronic devices for defense technologies.
On the atomic scale, semiconductors are crystals made of different elements arranged in repeating lattice structures. Many semiconductors are made primarily of one element with a few others added to the mix in small quantities. There aren’t enough of these trace additives to cause a repeating pattern throughout the material, but how these atoms are arranged next to their immediate neighbors has long been a mystery.
Do the rare ingredients just settle randomly among the predominant atoms during material synthesis, or do the atoms have preferred arrangements, a phenomenon seen in other materials called short-range order (SRO)? Until now, no microscopy or characterization technique could zoom in close enough, and with enough clarity, to examine tiny regions of the crystal structure and directly interpret the SRO.
“It’s an interesting scientific question because SRO dramatically changes the properties of a material. Our colleagues have predicted SRO theoretically in semiconductors, but this is the first time the individual structure of these SRO domains has been shown experimentally,” said co-lead author Andrew Minor, director of the National Center for Electron Microscopy at Berkeley Lab’s Molecular Foundry and a professor of Materials Science and Engineering at UC Berkeley.
Minor’s lab is part of the Center for Manipulation of Atomic Ordering for Manufacturing Semiconductors (µ-Atoms), a Department of Energy (DOE) Energy Frontier Research Center focused on understanding atomic ordering in semiconductors. “Our results are exciting because the property that’s being changed by this local ordering is the most important property for microelectronics, the band gap, which is what controls the electronic properties,” he said.
The breakthrough moment came when first author Lilian Vogl, who was then a postdoctoral researcher in Minor’s lab, was studying a sample of germanium containing a small amount of tin and silicon using a powerful type of electron microscopy recently pioneered by the group called 4D-STEM. The initial results were too muddled to parse the faint signals from the electrons diffracting off the tin and silicon from the strong signals off the tidily arranged germanium, so she implemented an energy-filtering device on the system to improve contrast.
When the next dataset started appearing on her monitor, she quickly realized there was a new kind of result. The faint signals were clearer, and repeating patterns emerged, indicating that the atoms have preferred order after all.
To validate her findings and learn what these patterns meant, Vogl collected more data with the energy-filtering 4D-STEM and used a pre-trained neural network to sort the diffraction images. The tool identified six recurring motifs representing particular atomic arrangements in the sample material, but the Berkeley Lab team still couldn’t determine the exact atomic structures that were generating the motifs. To interpret their experimental results, they turned to µ-Atoms collaborators at George Washington University led by co-lead author Tianshu Li, a professor of Civil and Environmental Engineering.
Li’s team generated a highly accurate and efficient machine-learning potential capable of modeling millions of atoms in the material’s structure, allowing Vogl to perform simulated 4D-STEM on different possible structural arrangements until she found matches for the motifs in the experimental data.
“It’s remarkable that modeling and experiment can work seamlessly to unravel SRO structural motifs for the first time,” said Li, whose team had previously predicted SRO and its impact and helped motivate the current study.
“Proving SRO experimentally is not an easy task, let alone identifying its structural motifs. Signals from SRO can easily be obscured by defects or inherent movement of atoms at room temperature, and until now there was no clear way to separate them. This work represents the first step toward our broader goal.”
Shunda Chen, a research scientist in Li’s group who developed the model, said, “With these models, which combine machine learning with first-principles calculations, we can replicate experimental procedures with high fidelity and pinpoint the structural motifs that would otherwise remain hidden.”
Follow-up work initiated by other µ-Atoms members at the University of Arkansas and at Sandia National Laboratories is already yielding insights into how these short range-order motifs affect the semiconductor’s electronic properties, and the scientists hope that manipulating the order to enable new types of devices and processing routes will be possible soon.
“We’re going to be able to really push the boundaries beyond current capabilities by designing semiconductors at the atomic scale,” said Vogl, who is now group leader of the Environmental & Analytical Electron Microscopy Group at the Max Planck Institute for Sustainable Materials.
“We are opening the door to a new era of information technology at the atomic scale, unlocking the deterministic placement of SRO motifs for tailoring of band structures that could impact a wide variety of technologies, from topological quantum materials to neuromorphic computing to optical detectors.”
More information:
Lilian M. Vogl et al, Identification of short-range ordering motifs in semiconductors, Science (2025). DOI: 10.1126/science.adu0719
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Atomic neighborhoods in semiconductors provide new avenue for designing microelectronics (2025, September 25)
retrieved 25 September 2025
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Tech
SpaceLocker launches first shared satellite mission | Computer Weekly
In-orbit hosting services provider SpaceLocker is claiming to have reached a milestone in its history by transitioning into the ranks of satellite operators and towards a gateway to space through Out of the Box, a shared satellite model offering a direct response to both economic and environmental challenges.
SpaceLocker was founded in 2022 with the aim of becoming a global reference for access to orbit.
In the long term, the company aims to operate across multiple orbital regimes, scale its mission cadence and open space to a new generation of users.
Rather than multiplying dedicated satellites, the French orbital hosting firm said it was maximising existing capacity by hosting multiple missions on a single platform. This approach, it believes, not only reduces costs, but also helps limit space debris and decrease total mass launched into orbit.
The new phase for SpaceLocker comes a year after its first in-orbit mission, and Out of the Box is its first fully owned and operated satellite. At the core of the new service is a patented “universal space port” technology, comparable to a USB port for satellites. Plug-and-play and payload-agnostic, it is designed to transform satellites into shared infrastructures capable of hosting multiple payloads simultaneously.
Offering more detail on this transition from dedicated satellites to a “space cloud”, the company said that until now, sending technology to orbit required designing or procuring an entire satellite – a long, costly and inflexible process that has remained largely unchanged for decades. In addition, it argued that currently, nearly one in five space missions is dedicated to technology demonstration, yet these opportunities remain complex and expensive to execute. By simplifying access to orbit, SpaceLocker said it was positioning itself as a key enabler of space innovation.
“We want to do for space what cloud computing did for IT: shift from ownership to shared infrastructure,” said SpaceLocker CEO and co-founder Théophile Lagraulet. “In the future, sending an instrument to orbit won’t require building a satellite. Access to space can become a standardised service.”
With Out of the Box, SpaceLocker says it has reached a key inflection point – becoming a satellite operator and building its own mission portfolio, demonstrating rapid execution in a sector known for long development cycles.
It is deploying a 16U CubeSat (~20kg) carrying five European customers – making access to space possible without building a dedicated satellite. Customers develop their payloads independently and integrate them into a standardised “container” using the company’s universal space port. SpaceLocker then manages the full orbital stack, from integration to operations.
The company claims that such a model reduces costs “dramatically”, up to three times cheaper than traditional missions, while cutting time-to-orbit in half. It also significantly lowers environmental impact through resource sharing, and helps limit space debris and decrease total mass launched into orbit.
The Out of the Box mission carries five payloads from across the European ecosystem, showcasing the diversity of next-generation space applications. Among the customers onboard, the Out of the Box mission brings together four European players.
EDGX, which develops technologies that enable compute in orbit, will demonstrate edge computing capabilities, enabling satellites to process data onboard and reduce reliance on ground infrastructure. Fédération Open Space Makers will fly FOSM-1, a payload dedicated to amateur radio and open communication experiments, supported by CNES. Solar MEMS will operate a high-precision star tracker for satellite orientation, while Arcsec will test two advanced star trackers to demonstrate high-performance attitude determination for small satellites.
Tech
The Best Babbel Promo Codes and Deals for April 2026
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Robotaxi Outage in China Leaves Passengers Stranded on Highways
An unknown technical problem caused a number of robotaxis owned by the Chinese tech giant Baidu to freeze on Tuesday in the middle of traffic, trapping some passengers in the vehicles for more than an hour.
In Wuhan, a city in central China where Baidu has deployed hundreds of its Apollo Go self-driving taxis, people on Chinese social media reported witnessing the cars suddenly malfunction and stop operating. Photos and videos shared online show the Baidu cars halted on busy highways, often in the fast lane.
A college student in Wuhan tells WIRED that she was stuck in a Baidu robotaxi with two friends for about 90 minutes on Tuesday. (She asked to be only identified with her last name, He, to protect her privacy.) The student says the car malfunctioned and stopped four or five times during the trip before it eventually parked in front of an intersection in eastern Wuhan. Luckily, it was not a busy road, and the group was not in immediate danger. The screen display in the car asked the passengers to remain in the car with seatbelt on and wait for a company representative to come “in five minutes,” according to a photo He shared with WIRED.
He says it took about 30 minutes to reach a Baidu customer representative on the phone. “They kept saying it would be reported to their superior. But they didn’t explain what caused [the outage] or let us know how long we needed to wait for the staff to come,” He says. But no one ever came, and after another hour of waiting, the three passengers decided to just get out and go home by themselves (the doors weren’t locked).
On Chinese social media, other passengers also complained about being unable to reach Baidu’s customer support. “I tried every way I could think of to call for help using the options the app showed, but the phone line wouldn’t go through, and when I pressed the SOS button it told me it was unavailable. So then what exactly is the SOS for?” wrote one person in a post on RedNote alongside a video showing the button not working. She said she had to force the door to open and get out of the car as traffic halted to a complete stop behind her robotaxi. “Apollo Go, you really owe me an apology,” she wrote.
Baidu didn’t immediately respond to a request for comment. Local police in Wuhan issued a statement around midnight in China that said the situation was “likely caused by a system malfunction,” but the incident is still under investigation. No one was injured and all passengers have exited the vehicles, the police added. It’s unclear how many of Baidu’s robotaxis may have been impacted.
One dash cam recording posted to RedNote shows a car passing 16 Apollo Go vehicles parked on the road in the span of 90 minutes. On several occasions, the video shows the driver narrowly avoiding hitting the robotaxis by braking or changing lanes at the last minute.
Others were apparently not as fortunate. In another RedNote post, a man claimed he crashed into one of the malfunctioning Baidu vehicles. The man wrote in the caption that he was driving over 40 mph on a highway when the car in front of him suddenly changed lanes to avoid the stopped robotaxi. He couldn’t react fast enough and ended up running into the self-driving car. Photos of the man’s orange SUV being towed away show that the car’s front-right fender was completely torn off, and other parts appeared to have sustained major damage.
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