Tag Archives: Denys Makarov

With a wave of your finger you can control your electronic fabric

A March 6, 2025 news item on ScienceDaily announces a durable electronic textile that can be washed,

A team of researchers from Nottingham Trent University (UK), Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and Free University of Bozen-Bolzano (Italy) has created washable and durable magnetic field sensing electronic textiles — thought to be the first of their kind — which they say paves the way to transform use in clothing, as they report in the journal Communications Engineering. This technology will allow users to interact with everyday textiles or specialized clothing by simply pointing their finger above a sensor.

A March 5, 2025 Helmholtz-Zentrum Dresden-Rossendorf press release (also on EurekAlert but published March 6, 2025), which originated the news item, describes some possibilities that, until now, have been the province of science fiction,

The researchers show how they placed tiny flexible and highly responsive magnetoresistive sensors within braided textile yarns compatible with conventional textile manufacturing. The garment can be operated by the user across a variety of functions through the use of a ring or glove which would require a miniature magnet. The sensors are seamlessly integrated within the textile, allowing the position of the sensors to be indicated using dyeing or embroidering, acting as touchless controls or ‘buttons’.

The technology, which could even be in the form of a textile-based keyboard, can be integrated into clothing and other textiles and can work underwater and across different weather conditions. Importantly, the researchers argue, it is not prone to accidental activation unlike some capacitive sensors in textiles and textile-based switches. “By integrating the technology into everyday clothing people would be able to interact with computers, smart phones, watches and other smart devices, transforming their clothes into a wearable human-computer interface”, summarizes Dr. Denys Makarov from the Institute of Ion Beam Physics and Materials Research at HZDR.

Washable fashion for human-computer interaction

The technology could be applied to areas such as temperature or safety controls for specialized clothing, gaming, or interactive fashion – such as allowing its users to employ simple gestures to control LEDs or other illuminating devices embedded in the textiles. Furthermore, the research team demonstrates the technology on a variety of uses, including a functional armband allowing navigational control in a virtual reality environment, and a self-monitoring safety strap for a motorcycle helmet. “It is the first time that washable magnetic sensors have been unobtrusively integrated within textiles to be used for human-computer interactions”, emphasizes Prof. Niko Münzenrieder from Free University of Bozen-Bolzano.

“Our design could revolutionize electronic textiles for both specialized and everyday clothing,” said lead researcher Dr. Pasindu Lugoda, who is based in Nottingham Trent University’s Department of Engineering. He further remarks: “Tactile sensors on textiles vary in usefulness as accidental activation occurs when they rub or brush against surfaces. Touchless interaction reduces wear and tear. Importantly, our technology is designed for everyday use. It is machine washable and durable and does not impact the drape, or overall aesthetic appeal of the textile.”

Electronic textiles are becoming increasingly popular with wide-ranging uses, but the fusion of electronic functionality and textile fabrics can be very challenging. Such textiles have evolved and now rely on soft and flexible materials which are robust enough to endure washing and bending, but which are intuitive and reliable.

Here’s a link to and and a citation for the paper,

Submersible touchless interactivity in conformable textiles enabled by highly selective overbraided magnetoresistive sensors by Pasindu Lugoda, Eduardo Sergio Oliveros-Mata, Kalana Marasinghe, Rahul Bhaumik, Niccolò Pretto, Carlos Oliveira, Tilak Dias, Theodore Hughes-Riley, Michael Haller, Niko Münzenrieder & Denys Makarov. Communications Engineering volume 4, Article number: 33 (2025) DOI: https://doi.org/10.1038/s44172-025-00373-x Published: 25 February 2025

This paper is open access.

Neurotransistor for brainlike (neuromorphic) computing

According to researchers at Helmholtz-Zentrum Dresden-Rossendorf and the rest of the international team collaborating on the work, it’s time to look more closely at plasticity in the neuronal membrane,.

From the abstract for their paper, Intrinsic plasticity of silicon nanowire neurotransistors for dynamic memory and learning functions by Eunhye Baek, Nikhil Ranjan Das, Carlo Vittorio Cannistraci, Taiuk Rim, Gilbert Santiago Cañón Bermúdez, Khrystyna Nych, Hyeonsu Cho, Kihyun Kim, Chang-Ki Baek, Denys Makarov, Ronald Tetzlaff, Leon Chua, Larysa Baraban & Gianaurelio Cuniberti. Nature Electronics volume 3, pages 398–408 (2020) DOI: https://doi.org/10.1038/s41928-020-0412-1 Published online: 25 May 2020 Issue Date: July 2020

Neuromorphic architectures merge learning and memory functions within a single unit cell and in a neuron-like fashion. Research in the field has been mainly focused on the plasticity of artificial synapses. However, the intrinsic plasticity of the neuronal membrane is also important in the implementation of neuromorphic information processing. Here we report a neurotransistor made from a silicon nanowire transistor coated by an ion-doped sol–gel silicate film that can emulate the intrinsic plasticity of the neuronal membrane.

Caption: Neurotransistors: from silicon chips to neuromorphic architecture. Credit: TU Dresden / E. Baek Courtesy: Helmholtz-Zentrum Dresden-Rossendorf

A July 14, 2020 news item on Nanowerk announced the research (Note: A link has been removed),

Especially activities in the field of artificial intelligence, like teaching robots to walk or precise automatic image recognition, demand ever more powerful, yet at the same time more economical computer chips. While the optimization of conventional microelectronics is slowly reaching its physical limits, nature offers us a blueprint how information can be processed and stored quickly and efficiently: our own brain.

For the very first time, scientists at TU Dresden and the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have now successfully imitated the functioning of brain neurons using semiconductor materials. They have published their research results in the journal Nature Electronics (“Intrinsic plasticity of silicon nanowire neurotransistors for dynamic memory and learning functions”).

A July 14, 2020 Helmholtz-Zentrum Dresden-Rossendorf press release (also on EurekAlert), which originated the news items delves further into the research,

Today, enhancing the performance of microelectronics is usually achieved by reducing component size, especially of the individual transistors on the silicon computer chips. “But that can’t go on indefinitely – we need new approaches”, Larysa Baraban asserts. The physicist, who has been working at HZDR since the beginning of the year, is one of the three primary authors of the international study, which involved a total of six institutes. One approach is based on the brain, combining data processing with data storage in an artificial neuron.

“Our group has extensive experience with biological and chemical electronic sensors,” Baraban continues. “So, we simulated the properties of neurons using the principles of biosensors and modified a classical field-effect transistor to create an artificial neurotransistor.” The advantage of such an architecture lies in the simultaneous storage and processing of information in a single component. In conventional transistor technology, they are separated, which slows processing time and hence ultimately also limits performance.

Silicon wafer + polymer = chip capable of learning

Modeling computers on the human brain is no new idea. Scientists made attempts to hook up nerve cells to electronics in Petri dishes decades ago. “But a wet computer chip that has to be fed all the time is of no use to anybody,” says Gianaurelio Cuniberti from TU Dresden. The Professor for Materials Science and Nanotechnology is one of the three brains behind the neurotransistor alongside Ronald Tetzlaff, Professor of Fundamentals of Electrical Engineering in Dresden, and Leon Chua [emphasis mine] from the University of California at Berkeley, who had already postulated similar components in the early 1970s.

Now, Cuniberti, Baraban and their team have been able to implement it: “We apply a viscous substance – called solgel – to a conventional silicon wafer with circuits. This polymer hardens and becomes a porous ceramic,” the materials science professor explains. “Ions move between the holes. They are heavier than electrons and slower to return to their position after excitation. This delay, called hysteresis, is what causes the storage effect.” As Cuniberti explains, this is a decisive factor in the functioning of the transistor. “The more an individual transistor is excited, the sooner it will open and let the current flow. This strengthens the connection. The system is learning.”

Cuniberti and his team are not focused on conventional issues, though. “Computers based on our chip would be less precise and tend to estimate mathematical computations rather than calculating them down to the last decimal,” the scientist explains. “But they would be more intelligent. For example, a robot with such processors would learn to walk or grasp; it would possess an optical system and learn to recognize connections. And all this without having to develop any software.” But these are not the only advantages of neuromorphic computers. Thanks to their plasticity, which is similar to that of the human brain, they can adapt to changing tasks during operation and, thus, solve problems for which they were not originally programmed.

I highlighted Dr. Leon Chua’s name as he was one of the first to conceptualize the notion of a memristor (memory resistor), which is what the press release seems to be referencing with the mention of artificial synapses. Dr. Chua very kindly answered a few questions for me about his work which I published in an April 13, 2010 posting (scroll down about 40% of the way).