Nagoya Institute of Technology researchers model microbubble behavior in viscoelastic fluid under ultrasound forcing
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Apr-2026 04:17 ET (3-Apr-2026 08:17 GMT/UTC)
Encapsulated microbubbles (EMBs) are vital in ultrasound imaging and emerging drug-delivery technologies. To analyze their behavior in blood, researchers from Nagoya Institute of Technology developed a detailed numerical framework that tracks the dynamics of EMBs near rigid walls in viscoelastic fluids. By combining the Oldroyd B model with the boundary element method, they demonstrated how shell thickness, viscoelasticity, and ultrasound parameters influence EMB dynamics, providing key insights for their safer design.
Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behaviour, they often end up playing 'too smart' and losing because they assume a higher level of logic in people than is actually present. The study has been published in the Journal of Economic Behavior & Organization.
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a research paper in National Science Review. The team, drawing on principles from neuroscience, proposed an innovative neuromorphic spike-based large language model, aimed at enhancing the energy efficiency and interpretability of LLMs. This research not only opens new directions for the development of efficient AI but also provides valuable insights for the design of next-generation neuromorphic chips.
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