A new approach combines 3D coherent imaging with machine learning to detect microscale microplastics in filtered water samples.

A new approach combines 3D coherent imaging with machine learning to detect microscale microplastics in filtered water samples.
Researchers use ordered templates to impart unprecedented tessellating patterns in composites made from inorganic materials.
Researchers develop a biomimetic flow channel module that facilitates continuous process water analysis in washing machines.
What does cooking in your kitchen have in common with printed electronics? More than one would think! Sintering is a widely used technique for bonding particles into coherent structures, imparting increased strength and integrity. Due to its low cost, and reliability,...
Researchers from UC Berkeley are utilizing deep learning to bypass iterative finite element calculations. Their deep learning model is trained using finite element simulation data to predict the deformation behavior of favorable designs.
Researchers develop dual-responsive muscle-like soft actuators with both dexterity and high mechanical strength.
Clarifying some of the misconceptions, limitations, and capabilities of CEM modelling to help researchers find the right tools for their needs.
German physicists converted electrical signals into photons and radiated them in specific directions using a nanometer-scale antenna.
A new approach seeks to use the “intelligence” aspects of AI to understand the physics of photonic nanostructures.
Azopolymer material allows light-assisted imprinting of nanostructures for structurally colored surfaces.