Machine Learning (ML) is a well‐known paradigm that refers to the ability of systems to learn a specific task from the data and aims to develop computer algorithms that improve with experience.
Machine Learning (ML) is a well‐known paradigm that refers to the ability of systems to learn a specific task from the data and aims to develop computer algorithms that improve with experience.
A team from China explore the romantic side of materials science
Scientists have shown the potential of liquid crystal shells as enabling material for a vast array of future applications.
A strategy for placing bezel-less image sensors for electronic devices over the entire surface of a tetrahedral, 3D sensor is demonstrated.
Developing strategies to enable solar-light driven splitting of water.
Dynamic nano and micropillars are able to transport water droplets across a surface.
New findings have the potential to vastly increase the functional capabilities of 3D-printed devices for industries such as electronics, healthcare and quantum computing.
Researchers demonstrate that magnetic anisotropy can be continuously tuned between the two limits of in-plane and out-of-plane.
An investigation of the physics that govern chemically-powered motors.
Prof. Zheshuai Lin and co-workers report zero linear compressibility (ZLC) in nondense borates under high hydrostatic pressure.