Using SLAC's X-ray laser, the method revealed atomic motions in a simple catalyst, opening the door to study more complex molecules key to chemical processes in industry and nature.
Metal sulfur coordination complexes are combinations of transition metals (one of 28 metallic elements, including iron and other common metals) surrounded by molecules or atoms that contain sulfur.
Research at the University of Bristol highlights a major semiconductor breakthrough, enabling faster data transfer for future 6G applications and innovations.
Materials scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a method for creating natural rubber that significantly increases its resistance to cracking even after numerous cycles of use while maintaining its essential qualities of stretchiness and durability, according to a study published in Nature Sustainability.
DECTRIS CLOUD for Scientists offers a free platform with advanced tools for data processing and collaboration, enhancing research efficiency and autonomy.
Argonne researchers have visualized the decision-making process of domain walls in nanomagnetic Galton boards, revealing the sources of randomness in these systems. This insight could transform computing architectures by enhancing energy efficiency and enabling advanced applications.
The Fe1Co1-N-C catalyst shows superior oxygen reduction activity in zinc-air batteries, promising enhanced efficiency and durability for energy applications.
A novel Co-Ni alloy catalyst developed at EPFL achieves 90 % energy efficiency and 100% selectivity in CO2 conversion, promising cost-effective carbon recycling.
A research team from the Institute of Advanced Magnetic Materials at Hangzhou Dianzi University has engineered a "slippery liquid-infused porous surface" (SLIPS) coating for Nd-Fe-B magnets using a multi-faceted design approach.
Researchers from the U.S. Department of Energy's (DOE) Brookhaven National Laboratory and DOE's Pacific Northwest National Laboratory (PNNL) have uncovered an unexpected interface layer that may be hindering the performance of superconducting qubits, the building blocks of quantum computers. While examining this layer through a combination of imaging techniques and theoretical models, they discovered the underlying cause of puzzling structural differences in qubits.
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