Researchers have discovered a single-molecule “switch” that can act like a transistor and offers the potential to store binary information.
A transparent and stretchable touch sensor could enable robust touch input mapping under either static or dynamic deformation.
An automatic design approach with a new 3D-printing method is established to fabricate soft composites that can change to predetermined shapes and generate controllable robotic motions under a magnetic field.
Zinc metal batteries built using a novel hydrogel electrolyte show remarkable performance and processability, making them suitable for the next generation of wearable energy storage devices.
Researchers create an artificial array of magnetic cilia that could contribute to advancing the capabilities of soft robotics.
As the way in which we work, socialize, and live becomes ever-more digital, enabling faster internet speeds and bandwidth capacity while using existing infrastructures promises a new dawn of the digital age.
An exciting and exotic approach to minimizing error in quantum computation re-purposes a known code to achieve what many researchers thought was impossible.
Using an asymmetric sawtooth-shaped potential, researchers achieve transport of tiny molecules driven by particle crowding.
Researchers discuss how to extract valuable information from databases to aid decision making in emergencies, such as the current pandemic.
A new tool can diagnose sepsis in less than fifteen minutes, even with a very low concentration of biomarkers.
Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
A team of data scientists has developed a general-purpose recommendation system for insurance based on Bayesian networks and deep learning.