Work
Thermal evaporation emerges as a promising strategy for scalable solid-state battery production
Solid-state lithium batteries are promising energy storage solutions that utilize solid electrolytes as opposed to the liquid or gel electrolytes found in traditional lithium-ion batteries (LiBs)....
Active particles reorganize 3D gels into denser porous structures, study shows
Colloidal gels are complex systems made up of microscopic particles dispersed in a liquid, ultimately producing a semi-solid network. These materials have unique and advantageous properties that can...
Compact on-chip polarimeter measures light polarization with high accuracy
Reliably measuring the polarization state of light is crucial for various technological applications, ranging from optical communication to biomedical imaging. Yet conventional polarimeters are made...
AI-powered algorithm enables personalized age transformation for human faces
Researchers at University of North Carolina at Chapel Hill and University of Maryland recently developed MyTimeMachine (MyTM), a new AI-powered method for personalized age transformation...
Precise map of primate foveolar cortex uncovers intricacies of brain’s visual system
Humans and other primates are innately able to perceive fine details, vibrant colors and focus their attention on specific elements of what they are seeing at a given time. This ability is supported...
Optical spring enables programmable defect mode in new mechanical crystal
Mechanical crystals, also known as phononic crystals, are materials that can control the propagation of vibrations or sound waves, just like photonic crystals control the flow of light. The...
LLMs are becoming more brain-like as they advance, researchers discover
Large language models (LLMs), the most renowned of which is ChatGPT, have become increasingly better at processing and generating human language over the past few years. The extent to which these...
Pioneering approach expands possibilities for measuring quantum geometry in solids
Understanding and reliably measuring the geometric properties of quantum states can shed new light on the intricate underpinning of various physical phenomena. The quantum geometric tensor (QGT) is...
Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change....