Work
A transfer-printing technique to integrate metal electrodes and 2D materials on a wafer-scale
Metal-semiconductor junctions, electrical junctions in which a metal is linked to a semiconducting material, are crucial components for numerous electronic and optoelectronic devices. While they are...
A technique to teach bimanual robots stir-fry cooking
As robots make their way into a variety of real-world environments, roboticists are trying to ensure that they can efficiently complete a growing number of tasks. For robots that are designed to...
Study observes the coexistence of topological edge states and superconductivity in stanene films
Stanene is a topological insulator comprised of atoms typically arranged in a similar pattern to those inside graphene. Stanene films have been found to be promising for the realization of numerous...
A self-supervised model that can learn various effective dialog representations
Artificial intelligence (AI) and machine learning techniques have proved to be very promising for completing numerous tasks, including those that involve processing and generating language....
A model to generate artistic images based on text descriptions
Artificial intelligence (AI) tools have proved to be highly valuable for completing a wide range of tasks. While they are primarily used to increase productivity or simplify everyday processes, they...
The direct detection of a topological phase transition through a sign change in the Berry curvature dipole
The Berry curvature and Chern number are crucial topological qualities of a quantum mechanical origin characterizing the electron wave function of materials. These two elements play a very important...
A soft and wireless haptic interface that can mechanically replicate sensations on the skin
Virtual reality (VR), augmented reality (VR) and extended reality (XR) technologies allow users to experience digital content in unique and immersive ways. These technologies primarily rely on the...
A model that can predict the exact quasi-particle properties of heavy Fermi polarons
Physicists studying quantum many-body physics very rarely reach exact solutions or conclusions, particularly in more than one dimension. This is also true for the Fermi polaron problem, describing...
A neuromorphic computing architecture that can run some deep neural networks more efficiently
As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently....
The first detailed characterization of candelabrum cells in the cerebellar cortex
Recent scientific and technological advances have led to the development of increasingly sophisticated tools to conduct neuroscience research. These new methods are helping neuroscientists to better...