Work
Using machine learning to uncover predictors of well-being
Irrespective of their personal, professional and social circumstances, different individuals can experience varying levels of life satisfaction, fulfillment and happiness. This general measure of...
Dielectric protocol leads to high energy density in Li-metal pouch cells
The interface between electrodes and electrolytes largely contributes to the efficiency with which batteries convert energy. In recent years, many efforts aimed at developing better performing...
Smart mouthguard allows users to control devices with their tongue and teeth
Recent technological advances have enabled the development of a wide range of electronic devices designed to improve people's quality of life and assist them in completing their everyday activities....
Study suggests that attention networks support changes in cortical organization and cognition during childhood
Past neuroscience studies have consistently highlighted the profound changes that the human brain undergoes throughout childhood and adolescence. These efforts have uncovered various stages of...
Hippocampal study unveils distinct protein machineries for calcium channel clustering and vesicle priming
In neuroscience, the term 'active zone' is used to refer to a specialized area in the presynaptic membrane of synapses (i.e., the connections via which neurons transmit electric nerve signals to...
Asymmetric electrolyte design enables high-capacity anodes in lithium-ion batteries
Lithium-ion batteries (LiBs) have become the most widely used rechargeable batteries worldwide. Energy researchers and material scientists have been trying to identify alternative materials that...
Researchers develop approach to fabricate highly performing transistors based on 2D semiconductors
Two-dimensional (2D) semiconducting materials have distinct optoelectronic properties that could be advantageous for the development of ultra-thin and tunable electronic components. Despite their...
Self-sensing cantilever design enhances microelectromechanical system performance in challenging environments
Microelectromechanical systems (MEMS) are tiny devices that integrate various components, such as miniature sensors, electronics and actuators, onto a single chip. These small devices have proved...
Car-following model based on reinforcement learning could cut fuel consumption
The transportation sector is still among the main sources of air pollution and climate change on Earth, accounting for approximately 59% of oil consumption and 22% of CO2 emissions. Identifying...
Measuring the gamma-ray-to-neutron branching ratio in the deuterium-tritium reaction
Magnetic confinement fusion devices are technologies that can attain controlled nuclear fusion reactions, using magnetic fields to confine hot plasmas. These devices could contribute to the ongoing...