Machine Learning Reveals Hidden Components of X-ray Pulses
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
Using two methods is better than one when it comes to observing how solar cells form and improving cell properties.
Scientists capture the short-lived hydroxyl-hydronium pair and the induced dynamic response in ionized liquid water in unprecedented detail.
Novel molecular beam scattering apparatus that uses a liquid flat jet can study chemical reactions at the gas liquid interface of volatile liquids.
Ultrafast electrons shed light on the web of hydrogen bonds that gives water its strange properties, vital for many chemical and biological processes.
Monitoring photo-excited electrons in real time with nanometer sensitivity reveals strengths and weaknesses in a common light-harvesting material.
Researchers have improved understanding of the photodissociation of pyruvic acid in the atmosphere.
Molecular design and light can control electron spin, resulting in fast orientation of the spin direction relative to an applied magnetic field.
Ozone injection may lead to cleaner, more efficient internal combustion engines.
Researchers improve their scientific understanding of heterogeneous catalysis by imaging the gas just above the surface of the catalyst.
Using the connected moments mathematical technique decreases the time and computational power needed for quantum computing simulations of chemical systems.
Actinide tetrafluorides exhibit significant variations in their electronic structures despite having nearly identical crystal structures.