CNC (Computer Numerical Control) machining has revolutionized the manufacturing world, enabling the production of highly precise and complex parts for a wide range of industries. While the core focus ...
The vital role of low surface energy and high surface roughness of hierarchical and re-entrant structures in achieving a steady Cassie–Baxter state that has a low contact area between the solid ...
Eclectic interiors celebrate creativity by blending diverse eras, styles, and materials. Intentional juxtapositions create harmonious spaces with contrasting aesthetics, textures, and bold colours.
it could inform the engineering of materials for a wide range of purposes, ranging from soft robots to consumer products. "Moving forward, we plan to further investigate how surface roughness ...
The organic material found in a few areas on the surface of dwarf planet Ceres is probably of exogenic origin. Impacting asteroids from the outer asteroid belt may have brought it with them.
Researchers at Caltech, led by Professor Chiara Daraio, have developed an intriguing new type of material that behaves like both a solid and a liquid, depending on the type of stress applied. This ...
Researchers have developed high-performance nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. Developed by researchers at the University of Toronto ...
Charmaine Wilkerson’s novel “Good Dirt” weaves together grief, suspense and the story of a jar made by an enslaved potter generations earlier. By Deesha Philyaw Deesha Philyaw is the author ...
Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...
Bioinspired materials are synthetic materials whose structure, properties or function mimic those of natural materials or living matter. Examples of bioinspired materials are light-harvesting ...
Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...
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