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New organic thin-film tunnel transistors for wearable and other small electronics

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New organic thin-film tunnel transistors for wearable and other small electronics


Circuit diagram of the PPG sensor interface prepared using our OTFTT to enhance weak sensory signals under illumination (wavelength, 650 nm). Credit: Nature Electronics (2025). DOI: 10.1038/s41928-025-01462-7

To meet the growing demands of flexible and wearable electronic systems, such as smart watches and biomedical sensors, electronics engineers are seeking high-performance transistors that can efficiently modulate electrical current while maintaining mechanical flexibility.

Thin-film transistors (TFTs), which are comprised of thin layers of conducting, semiconducting and insulating materials, have proved to be particularly promising for large-area flexible and wearable electronics, while also enabling the creation of thinner displays and advanced sensors.

Despite their potential, the energy-efficiency with which these transistors can switch has proved difficult to improve. This is due to the so-called thermionic limit, a theoretical threshold that delineates the lowest possible voltage required for a transistor to boost electrical current by a factor of 10 at room temperature when switching between “off” and “on” states.

Researchers at Soochow University and other institutes have developed a new TFT based on organic materials that could bypass this limitation, as it operates below the thermionic limit. The transistor, introduced in a paper published in Nature Electronics, was found to amplify signals with remarkable efficiency.

“Our work was driven by a fundamental challenge in wearable electronics and Internet of Things (IoT): the pursuit of high-performance devices with ultra-low-power consumption,” Jiansheng Jie, senior author of the paper, told Tech Xplore.

“Conventional organic thin-film transistors (OTFTs) are inherently limited by the thermionic emission mechanism, which sets a theoretical minimum for the subthreshold swing (SS)—a key metric that determines how efficiently a transistor can switch—of 60 mV dec-1 at room temperature. This inherent limitation results in excessive power dissipation during switching operations, posing a major barrier to energy-efficient operation.”

This recent study builds on recent works that highlighted the promise of so-called tunnel field-effect transistors (TFETs) based on inorganic semiconductors. These transistors were found to overcome the limitations of conventional transistors, leveraging a quantum mechanical process known as band-to-band tunneling.

“We sought to translate these advantages into the field of organic electronics,” said Jie. “Our central objective was to develop organic thin-film tunnel transistors (OTFTTs) capable of sub-60 mV dec-1 performance, thereby breaking the fundamental thermionic limit that has long governed conventional OTFTs.

“By demonstrating such behavior in a solution-processable, flexible organic platform, our research addresses a critical gap in the technological evolution of organic electronics and paves the way toward low-voltage, highly efficient flexible circuits for next-generation wearable and IoT applications.”

The new OTFTT developed by the researchers replaces the thermionic injection mechanism that drives the operation of conventional TFTs with band-to-band tunneling. This process allows to pass through the energy barrier directly and at extremely low voltages, significantly boosting the devices’ switching efficiency.

“The key innovation lies in the design of a hybrid inorganic-organic source-channel heterojunction,” explained Jie.

“We combined molybdenum trioxide (MoO3), an inorganic metal oxide with a deep-conduction-band, with the 2,7-dioctyl[1]-benzothieno[3,2-b][1]benzothiophene (C8-BTBT) single-crystalline thin film, which has a relatively low highest occupied molecular orbital (HOMO) energy level. This creates a ‘broken-gap’ alignment, where the HOMO of C8-BTBT lies above the conduction band (CB) of MoO3.”

New organic thin-film tunnel transistors for wearable and other small electronics
Cross-sectional schematic of the deposited MoO3 on top of C8-BTBT, where the bombardment of high-energy MoO3 clusters creates damage to the C8-BTBT, producing defects, interface diffusion and molecular stacking disorder. Credit: Nature Electronics (2025). DOI: 10.1038/s41928-025-01462-7

The configuration of the team’s transistor prompts the thermally excited tail of carriers originating from the MoO3 source to be sharply truncated. This in turn effectively suppresses classical thermionic emission processes, making band-to-band tunneling the dominant carrier injection mechanism.

“Meanwhile, by introducing a molecular decoupling layer (BPE-PDCTI) at the heterojunction interface, the Fermi-level pinning effect was effectively alleviated and the tunneling barrier height was further reduced,” said Jie.

“This strategic design enables the device to trigger charge band-to-band tunneling at an extremely low supply voltage. As a result, our OTFTTs overcame the 60 mV dec-1 thermionic limit on SS, achieving the lowest SS of 24.2 ± 5.6 mV dec-1 among the existing thin-film transistor technologies, alongside the record-high signal amplification efficiency of 101.2 ± 28.3 S A-1.”

The ultra-low SS yielded by the newly developed transistor is highly favorable for the development of low-power signal amplification circuits. In initial tests, circuits based on the transistor were found to achieve a gain in amplification of over 537 V V−1 at an ultra-low power consumption below 0.8 nW.

“Our OTFTTs break the fundamental thermionic limit—a long-standing theoretical ceiling on SS (60 mV dec⁻¹ at room temperature) that has constrained the energy efficiency of conventional for decades,” said Jie.

“This breakthrough not only redefines the performance boundaries of organic electronics but also enables a new class of ultra-low-power devices. The practical implications are substantial. Our OTFTTs are ideally suited for energy-constrained applications such as wearable health monitors, implantable biosensors, and self-powered IoT nodes.”

Notably, the OTFTT developed by Jie and his colleagues is compatible with existing processing and electronics fabrication strategies. In the future, it could be improved further and used to develop a wide range of high precision sensing devices, including trackers for the diagnosis or monitoring of specific medical conditions, environmental sensing systems and neuromorphic (brain-inspired) computing hardware.

“In bridging the gap between the intrinsic physical limitations of organic semiconductors and the stringent efficiency demands of next-generation technologies, this work represents a critical step toward intelligent, pervasive, and environmentally benign electronic systems,” said Jie.

Other researchers could soon build on the team’s design and set out to develop similar OTFTTs. Meanwhile, Jie and his colleagues plan to continue improving their device, for instance, by optimizing its performance via the careful engineering of energy levels at the interface between the organic materials it is based on.

To do this, they will select organic semiconductors with reduced bandgaps and lower carrier effective mass, while also creating high-conductivity interfacial decoupling layers that could enhance the transistor’s tunneling efficiency and performance.

“We will also expand the technology to n-type OTFTTs to enable all-organic tunneling logic circuits, addressing the current gap in low-power organic logic applications,” added Jie.

“Moreover, we plan to deploy OTFTTs in high-precision biomedical signal amplification (e.g., EEG, EMG), ultra-sensitive environmental sensing (e.g., trace gas detection, low-light imaging), and low-power IoT signal processing.

“Finally, we will continue developing scalable integration techniques for the large-scale fabrication of the OTFTTs on flexible substrates, aiming to accelerate the industrial adoption of high-performance, energy-efficient organic electronic systems.”

Written for you by our author Ingrid Fadelli, edited by Sadie Harley, and fact-checked and reviewed by Robert Egan—this article is the result of careful human work. We rely on readers like you to keep independent science journalism alive.
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More information:
Wei Deng et al, Organic thin-film tunnel transistors, Nature Electronics (2025). DOI: 10.1038/s41928-025-01462-7.

© 2025 Science X Network

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New organic thin-film tunnel transistors for wearable and other small electronics (2025, October 22)
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Instagram Will Start Letting You Pick What Shows Up in Your Reels

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Instagram Will Start Letting You Pick What Shows Up in Your Reels


Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of what Instagram considers to be your top, recent interests. This kind of peek behind the algorithmic curtain is already uncommon in social media apps, but Meta is taking it a step further by allowing Instagram users to influence their algorithm directly by picking topics they want to see more or less often in Reels.

This feature, called “Your Algorithm,” drops as Instagram and TikTok continue to battle for prominence with younger users. It’s these users who potentially want more control over what they’re consuming as they scroll through video feeds, as well as other personalization options. The new feature is landing on Instagram first for those in the US, with a global rollout for English users in the works.

The change arrives around the same time as the European Commission claims Meta will offer users in the European Union more options about how their data is being used for personalized ads. Instagram’s current approach, where users can pay a subscription to not see ads, does not meet the standards for choice set up under the Digital Markets act, according to the EU. Users in this locale are expected to see a choice soon whether to share all their data, or opt for a smaller sliver to be used for advertising purposes.

Instagram currently has the lead in overall app adoption among young users, but TikTok isn’t that far off. According to a 2025 study by the Pew Research Center, 80 percent of US adults under 30 used Instagram whereas 63 percent used TikTok.

When a user opens the new “Your Algorithm” tab on Instagram, they’ll see a brief summary of what they’ve “been into” while scrolling through Reels. The topics displayed are based on recent user activity, and the summaries are made using generative AI. Meta’s examples of topics that users could add with the new feature include “Horror movies,” “Chess,” and “College football.”

Courtesy of Meta



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WIRED Found the Most Manly Pants. And the Manliest Knife

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WIRED Found the Most Manly Pants. And the Manliest Knife



When you need something that’s as mannishly masculinized as you can get for the Man™ in your life, we have you covered.



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How digital twins are helping people with motor neurone disease speak | Computer Weekly

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How digital twins are helping people with motor neurone disease speak | Computer Weekly


An initiative by a UK-based charity, supported by technology companies and universities, has developed an artificial intelligence (AI)-powered digital twin that allows people with communications disabilities to speak in a natural way.

The technology, known as VoxAI, represents a step-change from the computer-assisted voice used by late physicist Stephen Hawking, one of the first well-known public figures with motor neurone disease (MND).

The Scott-Morgan Foundation was set up by its founder, roboticist Peter Scott-Morgan, to apply engineering principles to disability after he was diagnosed with MND.

A five-year project led by the trust has developed an AI-powered platform that is helping people with MND, also known as amyotrophic lateral sclerosis (ALS), to communicate in a natural way despite their disabilities.

It was developed by the foundation’s chief technologist, Bernard Muller, who is paralysed with MND and has learned to write code using eye-tracking technology.

The platform brings together AI technologies to create photo-realistic avatars that move in a natural way, with natural facial expressions, and can reproduce the voice of the person using it. It is able to listen to the conversation and offer disabled people a choice of three answers that they could select based on its understanding of the person.

One of the people testing the technology, Leah Stavenhagen, for example, worked as a consultant at McKinsey before she developed MND. The AI she uses has been trained on a book she wrote, along with 30 interviews in English and French.

ALS ambassador Leah Stavenhagen

LaVonne Roberts, CEO of the Scott-Morgan Foundation, told Computer Weekly that while people did not mind waiting to hear what Stephen Hawking had to say, delays in communication usually cause problems for both the speaker and the listener.

“When you have someone that is having to spell something out laboriously, they are fatiguing their eyes, which has been shown to further progression of MND, so we are trying to protect from that,” she said.

“The other thing that happens is people start giving much shorter answers because they don’t have the time to stay in a conversation,” added Roberts. “And, honestly, you end up with awkward pauses.”

The Scott-Morgan Foundation, which demonstrated the technology today at an AI Summit in New York, plans to make the software available free of charge, so that it can be used by as many people as possible. It will also offer a subscription version for more advanced features.

Many off-the-shelf computers and tablets now come with workable eye-tracking, and tracking devices provided by the NHS may also be able to use the technology, said Roberts.

“The idea was to democratise the technology by putting it on the web, giving the license keys, so that people have their voice back again,” she said.

More than 100 million people in the world who live with conditions that severely limit speech – including people recovering from a stroke, or living with cerebral palsy, a traumatic brain injury or non-verbal autism – could benefit from the technology.

The foundation plans to start a two-year trial of the platform, which will track some 20 participants using the technology, led by Mexican university Tecnológico de Monterrey, which will evaluate its impact.

It is also developing a simplified platform that could be used by people who do not have access to Wi-Fi.

Gil Perry, CEO of D-ID, which creates digital avatars for businesses, contributed to the project after the company helped a few people with MND/ALS in ways they found life-changing.

His company joined the project with the Scott-Morgan Foundation about two years ago, after meeting with Roberts. “I saw that LaVonne has the vision and can connect all the dots together, because she has a group of people who just sleep and dream that vision day and night,” said Perry.

The company has improved its technology so that it can create an avatar that shows facial expressions, even for someone whose condition means they are at an advanced stage of immobility.

Roberts said that one of the breakthrough moments came after a mother told the foundation that, although the technology was good, “You just didn’t capture my daughter’s smile”. That sparked work to make the avatars more lifelike. “I remember Erin’s mother crying when she saw Erin on a video, and she was like, ‘That’s her smile’,” she said. “And I knew we were onto something.”

Muller, who architected the platform, said that his avatar not only makes him visible, but also “present”. “When someone sees my avatar smile or shows concern, they are seeing me, not a disability,” he added. “That changes everything about how I connect with the world.”



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