Work
A strategy to rejuvenate dead lithium inside batteries
Li-ion batteries and other emerging lithium-based battery technologies are currently used to power a wide range of devices, including smartphones, laptops, tablets and cameras. Despite their...
DLL: A map-based localization framework for aerial robots
To enable the efficient operation of unmanned aerial vehicles (UAVs) in instances where a global localization system (GPS) or an external positioning device (e.g., a laser reflector) is unavailable,...
SciComm Corner – How Virtual and Augmented Reality Could Aid Science Communication
Virtual Reality (VR) and Augmented Reality (AR) are immersive technologies that allow users to experience media content in more engaging ways, as if it was playing out in their immediate...
A technique to plan paths for multiple robots in flexible formations
Multi-robot systems have recently been used to tackle a variety of real-world problems, for instance, helping human users to monitor environments and access secluded locations. In order to navigate...
Using different teams of robots to model environmental processes
Teams of multiple robots could help to tackle a number of complex real-world problems, for instance, assisting human agents during search and rescue missions, monitoring the environment or assessing...
Researchers identify a strategy to achieve large transport gap modulation in graphene
Over the past decade or so, the semimetal graphene has attracted substantial interest among electronics engineers due to its many advantageous qualities and characteristics. In fact, its high...
eSpine: A technique to increase the usable lifetime of neuromorphic systems
In recent years, engineers worldwide have been trying to develop increasingly advanced and efficient neuromorphic computing systems, devices that mimic the neuro-biological structure of the central...
The observation of Kardar-Parisi-Zhang hydrodynamics in a quantum material
Classical hydrodynamics laws can be very useful for describing the behavior of systems composed of many particles (i.e., many-body systems) after they reach a local state of equilibrium. These laws...
Study identifies two neuronal populations associated with symptoms of Parkinson’s disease
Parkinson's disease is a progressive neurodegenerative disorder that manifests itself through a diverse range of motor and non-motor symptoms, including shaking and stiffness of the limbs, as well...
DeepONet: A deep neural network-based model to approximate linear and nonlinear operators
Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes in values (i.e., discontinuities, holes or jumps in...