Toggle light / dark theme

Careful crystallization unlocks well-ordered perovskite layers for transistors

Perovskites are a class of materials with a unique crystal structure that suits applications such as fabricating solar cells, light-emitting diodes and transistors. However, molecules in thin layers often cannot arrange themselves properly because the process proceeds too quickly. Now, an international research team led by Tomasz Marszalek from the Max Planck Institute for Polymer Research has developed a new approach to controlling low-cost solution processing, thereby improving the formation of well-ordered perovskite layers and enabling their broader application in optoelectronic devices. Their paper is published in the Journal of the American Chemical Society.

Electronics can be found in almost every device, from smartphones and televisions to washing machines. Field-effect transistors are the main building blocks of electronic circuits, and they ensure that these devices can be easily operated and fully controlled. Perovskites are a new class of semiconductor that could be suitable for transistor applications. They contain various chemical elements, such as organic cations, divalent metal cations, and halide anions. This combination of elements enables the properties of thin perovskite films to be tailored precisely for specific applications.

Currently, their use in transistors is often unsuccessful due to a lack of control over the formation of the thin film, known as nucleation and crystallization. Therefore, researchers are attempting to organize the materials into thin, two-dimensional layers and stabilize them with organic molecules between the inorganic layers in order to control their optoelectronic properties.

Roadmap charts three paths to room-temperature quantum materials for cooler computing

Imagine a laptop that never gets hot, a phone that holds its charge for days, or a computer memory chip designed to permanently retain data, even when the power goes out. This is the possibility sitting inside a remarkable family of materials that a team of researchers from the University of Ottawa and the Massachusetts Institute of Technology (MIT) has spent years trying to understand, and they just published a comprehensive roadmap of the field to date in the journal Newton.

Magnetic topological materials sit at the crossroads of magnetism and topology in modern physics. Topology is the mathematical study of shapes that cannot be continuously deformed into one another. In these materials, that idea protects the flow of electrons in a way that normal materials simply cannot.

“Magnetic topological materials offer a unique platform where magnetism and quantum physics work together in ways we are only beginning to fully understand,” explains Hang Chi, Canada Research Chair in Quantum Electronic Devices and Circuits and Assistant Professor at uOttawa’s Department of Physics. “This review brings together the field’s most significant advances and gives researchers a shared foundation to build on.”

Signal-folding design helps neuromorphic chip slash AI energy use

Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify meaningful patterns. However, when running on existing hardware, such as smartphones, laptops and tablets, these systems typically consume a large amount of energy.

Over the past decade or so, electronics engineers have been increasingly working on alternative hardware systems that could run AI models more energy efficiently. Many of these systems are neuromorphic, meaning that they are inspired by the structure and functioning of the human brain.

Researchers at Huazhong University of Science and Technology and the Chinese University of Hong Kong recently introduced a new approach for designing neuromorphic computing hardware based on two-dimensional materials. Their proposed strategy, introduced in a paper published in Nature Electronics, was used to develop a chip based on the 2D semiconductor molybdenum disulfide (MoS2) that can reliably run AI algorithms while consuming less power.

Open-source ‘digital twin’ enables end-to-end testing of applications over wireless

Researchers at the University of California San Diego have developed an open-source “digital twin” of a wireless network, giving graduate students, startups and other innovators a free, easy-to-use way to test new technologies and get fast, realistic feedback. The platform could help accelerate the pace of wireless innovation.

“We are building a software replica of everything that happens when you use your phone, from the wireless signals traveling through the environment to the cellular network and apps that deliver data and services like video and Instagram,” said Dinesh Bharadia, associate professor in the Department of Electrical and Computer Engineering at the UC San Diego Jacobs School of Engineering, an affiliate of the UC San Diego Qualcomm Institute and senior author of the paper.

“This will help industry and academia build new protocols and algorithms faster using software and AI, with less need for real-world experiments.”

IOS 26.5 Brings Default End-to-End Encrypted RCS Messaging Between iPhone and Android

RCS is a modern, internet-based messaging protocol that allows Android and iPhone users to send high-resolution photos and videos, see typing indicators, and receive read receipts, features all typically present in instant messaging apps. It is built on an industry specification called the RCS Universal Profile.

“When RCS messages are end-to-end encrypted, they can’t be read while they’re sent between devices,” Apple said in a statement. “Users will know that a conversation is end-to-end encrypted when they see a new lock icon in their RCS chats.”

Apple began testing with E2EE in RCS messages in iOS and iPadOS 26.4 Beta, initially limiting it to only conversations between Apple devices. In early 2025, the GSM Association (GSMA) announced support for E2EE for safeguarding messages sent via the RCS protocol.

Qatsi Director Godfrey Reggio: We Are in the Cyborg State!

Thirteen years ago, I sat down with a filmmaker who had spent his life warning us about a future we are now living inside.

Godfrey Reggio is the director of Koyaanisqatsi, Powaqqatsi, and Naqoyqatsi, the Qatsi trilogy. Koyaanisqatsi is a Hopi word. It means life out of balance.

In our conversation, he said something I have never been able to shake:

“It’s our behavior that determines the content of our mind. We become what we do. We become what we see. We become the routine that we are a part of.”

Read that again. Slowly.

Now look at your phone. Look at your feed. Look at the average screen time of the people around you, including yourself.

Fake Call History Apps Stole Payments From Users After 7.3 Million Play Store Downloads

Cybersecurity researchers have discovered fraudulent apps on the official Google Play Store for Android that falsely claimed to offer access to call histories for any phone number, only to trick users into joining a subscription that provided fake data and incurred financial loss.

The 28 apps have collectively racked up more than 7.3 million downloads, with one of them alone accounting for over 3 million downloads, before they were taken down from the official app storefront. The activity, codenamed CallPhantom by Slovakian cybersecurity company ESET, primarily targeted Android users in India and the broader Asia-Pacific region.

“The offending apps, which we named CallPhantom based on their false claims, purport to provide access to call histories, SMS records, and even WhatsApp call logs for any phone number,” ESET security researcher Lukáš Štefanko said in a report shared with The Hacker News. “To unlock this supposed feature, users are asked to pay — but all they get in return is randomly generated data.”

AI data center boom is leaving consumer electronics short of chips − even though they don’t use the same kinds

Data centers need powerful chips, while smartphones need chips that are energy efficient. A supply chain scholar explains why chipmakers’ focus on the former comes at the expense of the latter.

Researchers combine five metals to build a better nanocrystal

A nanocrystal is an extraordinarily tiny piece of material—composed of anywhere from a few to a few thousand atoms—in which atoms are arranged in a precise, ordered structure. Think of it like taking a piece of gold and shrinking it down to the size of a few hundred atoms. It’s still gold, still crystalline, just almost incomprehensibly small.

Nanocrystals are in the transistors inside computers and smartphones, in smartphone displays and TV screens, in the gold-nanoparticle sensors that power COVID and pregnancy tests, and in the pipes of your car exhaust system, among countless other innovations.

Their small size gives them a dramatically higher ratio of surface area to volume, making them especially useful as catalysts—materials that speed up chemical reactions without being consumed in the process.

/* */