A KAIST research team led by Professor Keon Jae Lee has proposed an innovative theoretical framework and research strategies for AI-based wearable blood pressure sensors, paving the way for continuous ...

A KAIST research team led by Professor Keon Jae Lee has proposed an innovative theoretical framework and research strategies ...

Chen, Z. (2025) Research on Prospecting Prediction Method Based on Multi-Source Remote Sensing Images —A Case Study of ...

A new environment sensor employs solar cells to capture energy from indoor light and thus replace disposable batteries in ...

Electric vehicles (EVs) are leading the transition to sustainable transportation. However, effective battery management ...

The precision in positioning sensing elements offers a higher level of organization, promising a bright future for the development of multifunctional electrochemical biosensors. While DNA origami is ...

Using such protein-sensing elements, one can imagine constructing synthetic circuits that sense protein-based signals to conditionally trigger genome editing of a specific genomic location, possibly ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Finite-element method (FEM) simulations were employed to analyze the pressure-induced wavelength shifts, enhancing the sensor’s versatility in integrated sensing applications. The sensor’s compact ...

Abstract: This article presents the modeling and simulation of flexible capacitive pressure sensors based on the change of geometry, shape, and material for sensing performance improvement. For ...

natural sealing against elements, as well as being insensitive to magnetic/electrical effects, are ideal candidates for extreme environment applications. However, sensing for soft robots in such harsh ...