Work
A butterfly-inspired design to create crumple-recoverable electronics
Over the past decades, electronics engineers have created devices of various shapes and with increasingly sophisticated designs. This includes electronics that can be folded onto themselves, such as...
Cognitive maps in some brain regions are compressed during goal-seeking decision-making
Human decision-making has been the focus of a wide range of research studies. Collectively, these research efforts could help to understand better how people make different types of everyday choices...
Exploring the link between early life stress and maladaptive behavior across species
Adverse early experiences, such as parental neglect, abuse, the death of a loved one, or other traumatic events, are known to influence how humans will behave as adults. For instance, studies have...
Study suggests that the neural correlates of mind-wandering can vary across different tasks
When humans are completing a specific task, their minds can shift from what they are doing to their own internal thoughts. This shift of attention from a task to internal events, known as off-task...
A logical magic state with fidelity beyond distillation threshold realized on superconducting quantum processor
Quantum computers have the potential to outperform conventional computers on some tasks, including complex optimization problems. However, quantum computers are also vulnerable to noise, which can...
Constraining the dynamics of rotating black holes via the gauge symmetry principle
In 2015, the LIGO/Virgo experiment, a large-scale research effort based at two observatories in the United States, led to the first direct observation of gravitational waves. This important...
A new strategy to regulate the stiffness of snake-inspired robots
Robotic systems inspired by nature can help to efficiently tackle a wide range of problems, ranging from navigating complex environments to seamlessly completing missions as a team. In recent years,...
Can large language models detect sarcasm?
Large language models (LLMs) are advanced deep learning algorithms that can analyze prompts in various human languages, subsequently generating realistic and exhaustive answers. This promising class...
Team develops transistors with sliding ferroelectricity based on polarity-switchable molybdenum disulfide
Over the past few years, engineers have been trying to devise alternative hardware designs that would allow a single device to both perform computations and store data. These emerging electronics,...
A strategy to reduce the rapid capacity deterioration of Ni-rich cathodes
Over the past decades, engineers and materials scientists have been working hard to develop battery technologies that exhibit increasingly better performances. Their efforts are aimed at supporting...