Researchers at The University of Tokyo found that slow dynamics of complex networks control the rate of demixing in phase separation. This discovery may lead to advances in devices like rechargeable batteries and catalysts.
A novel technique uses synchronized recordings from grid-based listening stations to triangulate deer locations, reducing errors and increasing efficiency. The system has been successfully tested in Oze National Park, with accuracy of up to 15 meters.
A team of researchers at the University of Tokyo has developed a method to recharge sterilized N95 masks by exposing them to high-voltage electricity, regaining their static charge and filtering ability. This innovative technique could help meet the huge demand for protective equipment during the COVID-19 pandemic.
Scientists at the University of Tokyo used molecular dynamics calculations to simulate glass-forming ability of metallic mixtures. They found that even small changes in composition can disrupt crystallization and lead to glassy states upon cooling. This breakthrough may lead to a universal theory of glass formation and cheaper, more re...
A new transistor detects glyphosate in drinking water at 0.26 parts per million, outperforming conventional sensors with a detection limit of 0.95 ppm. The device works by adding copper ions that bind to the herbicide molecules, causing a detectable reduction in electric current.
A team of researchers from The University of Tokyo used electron spectroscopy and computer simulations to study the internal atomic structure of aluminosilicate glass. They found intricate structures that have not yet been analyzed by scientists, including complex coordination networks among aluminum atoms within phase-separated regions.
A comparative analysis of Tokyo residents' mobility data revealed a significant slowdown, leading to reduced social contacts and lower disease transmission. The study found that people with higher income were more capable of limiting their movement and contact, validating the effectiveness of non-pharmaceutical interventions.
Researchers have designed novel linear nanomotors powered by laser light, enabling controlled movement and reducing complexity. The technology uses localized surface plasmon resonance to produce directional scattering, allowing for precise navigation.
Researchers from the Institute of Industrial Science, the University of Tokyo, have demonstrated a new cooling solution for nanostructured devices using surface waves. Surface phonon-polaritons (SPhPs) enhance thermal conductivity in thin membranes, improving heat transport beyond conventional acoustic phonon limitations.
Researchers at The University of Tokyo have found evidence of a critical point based on the cooperative formation of tetrahedra in supercooled water. This discovery suggests that water's anomalies, such as its maximum density and large heat capacity, originate from the two-state feature, rather than criticality.
Scientists at the University of Tokyo developed a method for creating stress-free gels with less internal mechanical stress by delaying network formation. This breakthrough may help understand biological processes involving cytoplasm and improve industrial processes that create semisolid products, such as foodstuffs.
The University of Tokyo researchers employed a new computer model to simulate amorphous solids and their strength. They found that the internal network of force-bearing particles is responsible for giving glass its rigidity.
Crystallization in confined spaces is poorly understood, but researchers have gained insight into the process using colloid particles. The study reveals that kinetics, not thermodynamics, drives crystal structure formation in these systems.
A new study by the University of Tokyo's Institute of Industrial Science found that limiting warming to 1.5°C rather than 2°C above pre-industrial levels would significantly reduce global aridity, particularly in Mediterranean regions and western Europe. The research highlights the importance of considering regional impacts and suggest...
Researchers have developed a painless and biodegradable patch using microneedles to diagnose conditions like prediabetes. The patch combines porous microneedles with paper-based sensors for accurate glucose monitoring.
A team of researchers at The University of Tokyo and Fudan University studied crystallization processes when multiple structural arrangements are possible. They found that transient precursors of various crystalline orderings coexist and compete with each other, leading to complex crystal engineering methods.
A new study by the University of Tokyo reveals that cell-laden hydrogel fibers with a diameter of 1.0 mm provide long-term immunoprotection and functionality for pancreatic cells in diabetic mice, outperforming thinner fibers.
Scientists develop novel 3D-spiral circuit design for faster and more energy-efficient machine learning training. The design reduces interconnecting wiring needs and enhances algorithm accuracy up to 90%. This innovation may enable the next generation of energy-efficient AI devices.
Scientists at UTokyo-IIS developed a machine learning algorithm to infer excited states from ground states of materials. The algorithm used artificial neural networks to analyze data from core-electron absorption spectroscopy, revealing new insights into chemical reactivity and material function.
An international team developed artificial neurons that can precisely target specific brain cells using optogenetics and light patterns. This technology has the potential to replace damaged brain circuits and restore communication between brain regions.
Researchers at The University of Tokyo have introduced a novel color-changing organic crystal that displays superelastochromism, returning to its original shape and hue after being stressed. This property has potential applications in sensors for shear forces, particularly in industries like heavy manufacturing and shipping.
Researchers developed a machine learning system that can automatically detect and label 2D materials in microscope images, reducing the time required for their development. The system was trained using labeled examples and achieved accuracy in under 200 milliseconds, enabling faster testing of new electronic devices.
Fluid dynamics experts have long assumed that fluids flow without slipping at solid boundaries, but recent research reveals this may not be true. Tiny microbubbles formed by shear forces can cause slippage, potentially reducing energy losses in industrial applications such as gas and oil suppliers.
Researchers at The University of Tokyo have developed a new procedure for recycling concrete with wood, yielding a building material with superior bending strength. This innovative approach may help reduce greenhouse gas emissions and construction costs.
A team of researchers from The University of Tokyo Institute of Industrial Science has expanded our understanding of liquid behavior by describing the role of hydrodynamics in these transitions. They found that changes in density lead to hydrodynamic fluctuations, affecting domain growth and long-range interactions.
Researchers at the University of Tokyo and Kozo Keikaku Engineering Inc. have introduced a method for enhancing the power of existing algorithms to forecast the future of unknown time series by combining suboptimal forecasts. This approach was tested on real-world flood data and theoretical equations with chaotic behavior, resulting in...
Researchers have discovered slow-slip events along the Nankai Trough subduction zone, which can last for hours or months and are difficult to detect using conventional seismological techniques. The study used a Global Navigation Satellite System-Acoustic ranging technique to monitor changes in the seafloor's position.
Researchers found that hydrodynamic interactions do not explain the large discrepancy between experimental and simulated nucleation rates in hard-sphere colloids. Their simulations using a reliable model showed that neglecting these interactions led to similar nucleation rates as with hydrodynamic interactions.
Researchers at The University of Tokyo introduced a new physical model that predicts the dynamics of glassy materials based solely on their local degree of atomic structural order. This theory greatly improves our understanding of how glassy liquids become more viscous on cooling, with potential applications in manufacturing.
Researchers have discovered a significant coupling between crystallization and liquid-liquid transition (LLT) in molecular liquids, leading to drastic enhancements of crystal formation. This finding has implications for understanding and controlling crystallization in various fields, including materials science and disease research.
A research team at The University of Tokyo has successfully produced helixes that twist preferentially in a particular direction, shedding light on the origin of life's chirality. This breakthrough may lead to new and cheaper drug production methods and finally address the lingering question of how life began.
Researchers at the University of Tokyo have introduced a new method for evaporation cooling using semiconductor quantum wells, reducing waste heat in portable electronics. Devices with this technology may be integrated into smart devices to prevent overheating issues.
Researchers at The University of Tokyo have developed a method to actively break chemical bonds using tiny antennae created by infrared lasers. This technique enables selective control over chemical reactions, increasing yields while minimizing unwanted side products.
A team of researchers at the University of Tokyo developed a new method for understanding amorphous solids using computer simulations. They focused on local mechanical properties and introduced a new order parameter called vibrability, which controls atomic vibrations in soft discs or spheres. This discovery may help design more effici...
A research group at The University of Tokyo developed a more efficient insulated gate bipolar transistor (IGBT), which can switch high voltages at lower operating voltages, reducing power consumption and increasing energy efficiency. The IGBT achieved stable switching at just 5V, a significant improvement over previous performance limits.
The researchers used confocal microscopy to analyze the complete gelation process in real time with single particle resolution. They found that the point of solidity appearance corresponds to the point of isotropic percolation of isostatic structures, which is directly linked to mechanical stability.
Researchers at The University of Tokyo created a thermomechanical device to detect terahertz radiation, allowing for sensitive and rapid detection at room temperature. This technology opens up new applications for THz technologies, such as THz cameras.
Researchers at The University of Tokyo have grown a working model of a cerebral tract in the lab, mimicking the connections between neurons in the brain. The model, created using induced pluripotent stem cells, demonstrates how axons can grow and form bundles to connect separate cognitive tasks.
Research led by The University of Tokyo Institute of Industrial Science found that China and India's rapid urbanization, especially in China, and rural development in India were major enablers of the success in achieving MDG Target 7C-Water. Economic development was also found to be imperative in expanding drinking water coverage.
A new metric called the E2E evaluates the intensification of wet and dry spells under global warming, revealing significant increases in event-to-event hydrological intensification index with rising temperatures.
A team at The University of Tokyo has described a rare phenomenon called liquid-to-liquid phase transitions in pure substances. The study found that a liquid made of one type of molecule can switch between liquid and glassy states, offering a novel way to control transport properties.
The study identifies tetrahedral nature as the local ordering of atoms in liquids, explaining the first sharp diffraction peak (FSDP) feature. The findings provide direct evidence of coexisting order and disorder in tetrahedral liquids, leading to improved understanding of their properties.
Researchers build a 2D nanosheet and link it together to form a stable 3D 'butterfly-shaped' palladium cluster with potential industrial applications. The cluster's unique shape is stabilized by chemical linkers, enabling precise control of its function.
Researchers created a lab model of a blood vessel to study angiogenesis, revealing how the molecule EGFL7 influences blood vessel sprouting and integrity. The study suggests EGFL7 as a potential therapeutic target for diseases like retinopathy and cancer.
A new model by the University of Tokyo Institute of Industrial Science has shed light on the physical principle behind controlling crystal materials. The findings have practical benefits for applications such as non-volatile memory devices and electro-mechanical actuators.
Researchers at The University of Tokyo developed a computational tool that can learn from headcam footage to predict where the user's focus will next be targeted. This approach combines visual saliency with gaze prediction, achieving better results than existing methods.
Researchers developed a data-driven approach using machine learning to interpret complex material spectra. The method enables rapid and accurate analysis of spectral features without requiring specialist expertise.
Researchers at The University of Tokyo's Institute of Industrial Science developed a method to detect the motion of individual molecules using terahertz radiation. This breakthrough allows for the study of molecular vibrations and electron tunneling with unprecedented sensitivity.
Researchers found that gold palladium alloys improve hydrogen storage rates by making the surface less stable for hydrogen atoms to chemisorb. This encourages atoms to penetrate deeper into the metal, increasing overall absorption efficiency.
A new study uses weather forecasts to predict radioactive material dispersion, enabling evacuation plans and health-protective measures. The AI tool achieved accuracy of at least 85%, with 95% in winter, over 30 hours in advance.