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Category: engineering

Listening to the body’s quietest, yet most dynamic movements with a wearable sensor

The human body continuously generates a rich spectrum of vibrations—often without us ever noticing. Everyday unconscious activities such as breathing, speaking, and swallowing all produce subtle yet distinct mechanical signals. Although these faint vibrations carry valuable information about physiological state, they have long been difficult to capture accurately using conventional wearable devices.

Recently, a research team led by Professor Kilwon Cho of the Department of Chemical Engineering at Pohang University of Science and Technology (POSTECH), along with Ph.D. candidate Kang Hyuk Cho and postdoctoral researcher Dr. Jeng-Hun Lee, has developed a wearable vibration sensor capable of precisely detecting these subtle yet highly dynamic signals, without requiring any external power source. This breakthrough opens new possibilities for wearable medical and health care technologies and demonstrates strong potential as a core sensing platform for next-generation smart devices. The work was published in the inaugural issue of Nature Sensors.

Sounds produced by the human body span a wide range of frequencies. Physiological signals such as breathing, swallowing, and speech typically occur at lower frequencies, while sounds such as coughing or groaning emerge at relatively higher frequencies. Accurately capturing these signals requires precise detection of the minute vibrations transmitted to the skin surface across a broad frequency spectrum.

Functional photoacoustic microscopy reaches super-resolution by tracking red blood cells

The brain relies on real-time delivery of oxygen and nutrients through its microvasculature, which threads through neural tissue like electrical wires. While modern imaging technologies allow researchers to follow the activity of individual neurons in the brain, they are not yet advanced enough to dissect the microvascular function at a comparable spatial scale. This gap hinders our understanding of cerebral small vessel disease and its contributions to cognitive impairment and dementia.

To address this challenge, a team of researchers at Washington University in St. Louis and Northwestern University, led by Song Hu, professor of biomedical engineering in the McKelvey School of Engineering, have developed super-resolution functional photoacoustic microscopy (SR-fPAM).

By tracking the movement and oxygenation-dependent color change of red blood cells, SR-fPAM allows researchers to image blood flow and oxygenation at single-cell resolution in the mouse brain, which bridges a critical gap in functional microvascular imaging and could provide new insight into microvascular health and disease, such as stroke, vascular dementia and Alzheimer’s disease.

Discovery of energetic ionic cocrystals via high-throughput virtual screening

Researchers developed a faster, more targeted way to design ionic cocrystals (ICCs) of the energetic oxidizer ammonium dinitramide (ADN).

Using high‑throughput virtual screening with the CSD Python interface and RDKit, followed by quick experimental tests, they identified and synthesized a new ADN cocrystal with oxalyl dihydrazide (OHD).

Read the full paper here.

Ionic cocrystals (ICCs) offer a promising strategy to tailor the properties of energetic oxidizers like ammonium dinitramide (ADN). However, the current design process of ADN-based ICCs remains heavily reliant on empirical trial-and-error methods, which significantly impedes development efficiency and presents a fundamental challenge in balancing energy performance and hygroscopicity. Herein, we leverage a high-throughput virtual screening strategy to identify coformers of ADN cocrystals that meet requirements for structures and performances, integrating the CSD Python interface and RDKit via custom Python scripts. Combined with rapid experimental screening, the first ADN cocrystal with balanced hygroscopicity and energy is successfully synthesized using a commercially available coformer oxalyl dihydrazide (OHD). The resulting ADN/OHD cocrystal exhibits a positive oxygen balance of +4.37%, enhanced moisture resistance and thermal stability. Moreover, compared to pure ADN, ADN/OHD delivers a 27.6% higher specific impulse, along with excellent green processability and engineering scalability. This work establishes a rational and scalable approach for developing perchlorate-free oxidizer cocrystals with well-balanced properties, and also provides a generalizable paradigm for the performance-oriented design of ICCs.

Pnictogen-bonding-crosslinked polymer networks: constructing self-healing materials

Herein, we introduce pnictogen bonding interaction into polymer networks for the design and modulation of dynamic macromolecular materials. Several types of polymeric pnictogen-bonding networks with graded interaction strengths were constructed to explore the structure–property relationship. Comprehensive investigations revealed that strengthening the pnictogen bonding significantly enhances the topological stability of the resulting materials. In contrast, analogous hydrogen-bonded networks did not exhibit comparable mechanical reinforcement. Moreover, the pnictogen-bonding networks endow the materials with tunable self-healing capability, allowing not only spontaneous healing at room temperature and thermally triggered healing on demand, but also effective healing in aqueous environments. This represents the first exploration of self-healing behavior driven by pnictogen bonding in polymeric materials. Mechanistic insights into the role of pnictogen bonding in polymer networks were elucidated through NMR titration of donor–acceptor polymer pairs, comparative self-assembly behavior, and cocrystal structures of small-molecule analogues. The incorporation of pnictogen bonding interaction into polymer networks provides a robust and versatile platform for engineering high-performance dynamic polymeric materials.

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evolved over billions of years to solve difficult engineering problems by using efficient, parallel, low-power computation. The goal of NE is to design systems capable of brain-like computation. Numerous large-scale neuromorphic projects have emerged recently. This interdisciplinary field was listed among the top 10 technology breakthroughs of 2014 by the MIT Technology Review and among the top 10 emerging technologies of 2015 by the World Economic Forum.

These biological computers actually use neurons

In this video we look into one of the developing areas of computing: wetware. Most specifically neuromorphic computing, a science which uses actual neurons on chips.

We talk to Cortical labs, the company that developed the pong-playing dish brain, and professor Thomas Hartung to understand what the benefits of this technology are.

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InN thin films show transient Pauli blocking for broadband ultrafast optical switching

Recent decades have witnessed rapid advancements in high-intensity laser technology. The combination of laser irradiation and novel materials is opening exciting avenues for the design of functional materials and devices. Semiconductors are ideal platforms for generating laser-driven functionalities because they can exhibit novel features such as ultrafast optical transparency. This effect arises from electronic occupation redistribution driven by ultrafast excitation, which manifests as a phenomenon called transient Pauli blocking.

In a new development, a team of researchers in Japan, led by Professor Junjun Jia from the Global Center for Science and Engineering and the Graduate School of Advanced Science and Engineering at Waseda University, has examined the transient Pauli blocking effect in an InN film.

The study utilized pump-probe transient transmittance measurements with multicolor probe lasers, alongside first-principles electronic band-structure calculations. Their findings are published in Physical Review B.

New technique spots hidden defects to boost reliability of ultrathin electronics

Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown that hard-to-spot defects in a widely used two-dimensional insulator can trap electrical charges and locally weaken the material, making it more likely to fail at lower voltages. The findings are published in Nano Letters.

“By showing practical ways to detect when and where these defects form, we help make future devices more reliable and repeatable,” said Hae Yeon Lee, an assistant professor of materials science and nanoengineering at Rice, who is a corresponding author on the study.

Building ultrathin electronics such as advanced transistors, photodetectors and quantum devices involves stacking sheets of different 2D materials on top of each other into “heterostructures.” Hexagonal boron nitride (hBN), prized for being atomically flat and chemically stable, is a common building block.

Hair-width LEDs could eventually replace lasers

LEDs no wider than a human hair could soon take on work traditionally handled by lasers, from moving data inside server racks to powering next-generation displays. New research co-authored by UC Santa Barbara doctoral student Roark Chao points to a practical path forward. The study is published in the journal Optics Express.

“We’re talking about devices that are literally the size of a hair follicle,” said Chao, who studies electrical engineering. “If you can engineer how the light comes out, those microLEDs can start to replace lasers in short-distance data communication.”

The work builds on UCSB’s longstanding strengths in gallium nitride research and optoelectronics. Chao is co-advised by Steven P. DenBaars and Jon A. Schuller, both co-authors on the study, which also includes Nobel laureate Shuji Nakamura, whose pioneering work on blue LEDs transformed global lighting and display technologies. The research was conducted in the laboratories of the DenBaars/Nakamura and Schuller groups, where teams focus on gallium nitride materials growth and nanoscale photonics.

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