Soft robotic grippers demonstrate their ability to transport cargoes on demand.
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.
Quantitative systems modeling aims to integrate knowledge in different research areas with models describing biological mechanisms and dynamics to gain a better understanding of complex clinical syndromes.
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.
Bringing together leading quantum researchers to pave the way towards quantum-enabled devices in the near future.
Dynamic nano and micropillars are able to transport water droplets across a surface.
There are striking similarities between the structure of natural river networks and others found in systems as diverse as brains, roads and the communication technologies. Using a series of examples, the authors illustrate how a suite of graph theory-based metrics derived from diverse disciplines can be used to provide new insights into the structure and kinematics of braided river networks.
New findings have the potential to vastly increase the functional capabilities of 3D-printed devices for industries such as electronics, healthcare and quantum computing.
The fabrication of indium-based microcolumns and nanowires with controlled phase and morphology.