Will Chueh of Stanford University is the 2023 winner of the Shirley award for Outstanding Scientific Achievement at the ALS. His selection recognizes Chueh’s deep contributions in operando soft x-ray spectromicroscopy for imaging electrochemical redox phenomena—images and movies for battery and electrocatalytic reactions. Read more »
Imaging Topological Magnetic Monopoles in 3D
Researchers created topologically stable magnetic monopoles and imaged them in 3D with unprecedented spatial resolution using a technique developed at the ALS. The work enables the study of magnetic monopole behavior for both fundamental interest and potential use in information storage and transport applications. Read more »
Watching Nanoparticle Chemistry and Structure Evolve
Using a multimodal approach, researchers learned how chemical properties correlate with structural changes during nanoparticle growth. The work will enable a greater understanding of the mechanisms affecting the durability of nanoparticles used to catalyze a broad range of chemical reactions, including clean-energy reactions. Read more »
Nanoscale Confinement of Photo-Injected Electrons at Hybrid Interfaces
Picosecond time-resolved x-ray photoemission spectroscopy provides real-time electron distributions of donors and acceptors in a prototypical bipyridyl-ZnO hybrid light harvesting system. The measurements show that photo-injected electrons remain localized within the defect-rich surface region of the nanoporous ZnO substrate, revealing a challenge for the extraction of free charge carriers. Read more »
When Timing Isn’t Everything: Spontaneous Chemical Dynamics
Researchers combined aspects of x-ray photoelectron spectroscopy (XPS) with correlation spectroscopy—a statistical method capable of detecting patterns in microscopic fluctuations across space and time. The new technique, called time-correlation XPS, allows researchers to monitor dynamics without the need for a timed trigger. Read more »
A Multiscale Picture of Oxygen Loss in Battery Electrodes
In lithium-ion batteries, oxygen atoms leak out of electrode particles as the lithium moves back and forth between electrodes. Now, researchers have measured this process at multiple length scales, showing how the oxygen loss changes the electrode’s structure and chemistry, gradually reducing the amount of energy it can store. Read more »
Nanoscale Metallic Particles Detected in Brain Tissue
Researchers detected nanoscale deposits of elemental copper and iron in brain tissues isolated from Alzheimer’s disease subjects. The discovery suggests new directions of study to determine the role that elemental metals might play in neurochemistry, neurobiology, and the development of neurodegenerative disease. Read more »
New Tools Link Catalytic Activity to Nanoscale Transformations
Transitioning to a clean hydrogen economy will require cheaper, more efficient ways to split water molecules. To address bottlenecks in the water-splitting process, researchers developed a suite of advanced tools, including a liquid flow cell that enables electrochemical studies of catalysts under working conditions. Read more »
X-Ray Experiments, Machine Learning Could Trim Years Off Battery R&D
Scanning transmission x-ray microscopy at the ALS’s COSMIC beamline contributed to a battery study that used an innovative approach to machine learning to speed up the learning curve about a process that shortens the life of fast-charging lithium batteries. It represents the first time this brand of “scientific machine learning” was applied to battery cycling. Read more »
Tuning of One Atomic Layer Unlocks Catalytic Pathway
An atomically precise surface probe helped researchers discover that a catalyst can be activated by tuning the composition of just one atomic surface layer. The work sharpens our understanding of how surface changes can improve the production of hydrogen fuel from water using efficient catalysts made of inexpensive materials. Read more »
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