In the future, many computers will most likely be based on electronic circuits made of superconductors. These are materials through which an electrical current can flow without energy losses, could be very promising for the development of high-performance...
Antiferromagnetic materials, materials in which atoms are arranged so that all neighboring atoms are anti-parallel (i.e., pointing in the opposite direction) to them, can have several advantageous properties for the development of devices. Due to their fast spin...
All-perovskite tandem solar cells, solar cells comprised of stacked wide-bandgap (WBG) and narrow-bandgap (NBG) perovskites, could be particularly promising energy solutions. Compared to other existing photovoltaic systems, these cells could achieve good...
Recent advancements in the development of machine learning and optimization techniques have opened new and exciting possibilities for identifying suitable molecular designs, compounds, and chemical candidates for different applications. Optimization techniques, some...
As robots become increasingly advanced, they are likely to find their way into many real-world settings, including homes, offices, malls, airports, health care facilities, and assisted living spaces. To promote their widespread use and implementation, however,...
In recent years, engineers and computer scientists have created a wide range of technological tools that can enhance fitness training experiences, including smart watches, fitness trackers, sweat-resistant earphones or headphones, smart home gym equipment and...
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...
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...
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...
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...