Recent technological advancements have paved the way for the creation of increasingly sophisticated robotic systems designed to autonomously complete missions in different familiar and unfamiliar environments. Robots meant to operate in uncertain or remote...
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A soft, fatigue-free and self-healing artificial ionic skin
In recent years, roboticists and material scientists worldwide have been trying to create artificial systems that resemble human body parts and reproduce their functions. These include artificial skins, protective layers that could also enhance the sensing...
A new laser-based chlorination process to create high doping patterns in graphene
In recent years, electronics and chemical engineers have devised different chemical doping techniques to control the sign and concentration of charge carriers in different material samples. Chemical doping methods essentially entail introducing impurities into...
A computing in-memory system based on stacked 3D resistive memories
Machine learning architectures based on convolutional neural networks (CNNs) have proved to be highly valuable for a wide range of applications, ranging from computer vision to the analysis of images and the processing or generation of human language. To tackle more...
Using a GAN architecture to restore heavily compressed music files
Over the past few decades, computer scientists have developed increasingly advanced technologies and tools to store large amounts of music and audio files in electronic devices. A particular milestone for music storage was the development of MP3 (i.e., MPEG-1 layer 3)...
Bilayer tungsten diselenide transistors with ON-state current densities over 1.5 milliamperes per micrometer
2D semiconductors could have notable advantages over conventional bulk semiconductors, such as silicon. Most notably, their greater resistance to short-channel effects could make them particularly promising for the development of highly performing transistors, which...
A deep learning framework to enhance the capabilities of a robotic sketching agent
In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully developed models that can create artistic works, including poems, paintings...
Microscopic carrier loss mechanisms in kesterite-based solar cells with a 12% efficiency
Kesterite Cu2ZnSn(S,Se)4 is an emerging and promising green photovoltaic material, as it is abundant on Earth, does not harm the environment, and has a stable structure, a great tunability and advantageous optoelectronic properties. Despite their qualities, solar...
A strategy to improve perovskite absorbers for all-perovskite tandem solar cells
Tandem solar cells (TSCs), stacks of p-n junctions based on semiconductors with different bandgaps, are a highly promising energy solution that could help to reduce carbon emissions. Perovskites, earth-abundant materials with a tunable bandgap, high charge-carrier...
A neural network–based strategy to enhance near-term quantum simulations
Near-term quantum computers, quantum computers developed today or in the near future, could help to tackle some problems more effectively than classical computers. One potential application for these computers could be in physics, chemistry and materials science, to...