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Remotely Predicting Leaf Age in Tropical Forests
New approach offers data across species, sites, and canopies, providing insights into carbon uptake by forests.
New approach offers data across species, sites, and canopies, providing insights into carbon uptake by forests.
The magnetic noise caused by adsorbed oxygen molecules is “eating at” the phase stability of quantum bits, mitigating the noise is vital for future quantum computers.
Water passes through human-made straws faster than the “gold standard” protein, allowing us to filter seawater.
An electric field switches the conductivity on and off in atomic-scale channels, which could allow for upgrades at will.
A revolutionary material harbors magnetism and massless electrons that travel near the speed of light—for future ultrasensitive, high-efficiency electronics and sensors.
Machine learning and neural networks are the foundation of artificial intelligence and image recognition, but now they offer a bridge to see and recognize exotic insulating phases in quantum materials.
Electrons are forced to the edge of the road on a thin sheet of tungsten ditelluride.
Detector measures the energy a neutrino imparts to protons and neutrons to help explain the nature of matter and the universe.
Large-scale simulations of quarks promise precise view of reactions of astrophysical importance.
Gravitational wave observations combined with optical and gamma-ray data confirm earlier predictions, offer insights into how the galaxy produces lead, mercury, and other elements.
Real-time imaging shows how hydrogen causes oxygen to leave a buried surface, transforming an oxide into a metal.
Simply applying a small voltage dramatically changes the atomic structure, vital to creating materials for advanced computer memory.