Creating a Better Way to Find Out “When”
Computer algorithm recovers histories and dynamics on timescales much faster than uncertainties inherent in experimental data.
Computer algorithm recovers histories and dynamics on timescales much faster than uncertainties inherent in experimental data.
Molecular movements triggered by light redirect the flow of energy through photosynthetic cells to protect them from sun damage.
Hollow shape-selected platinum nanocages represent a new class of highly active catalysts.
The world’s fastest images of nitrogen molecules rotating in a gas were captured using electron diffraction.
A new approach to investigating green fluorescent protein provides a vital tool for unraveling molecular-level details of processes important in biology and light harvesting for energy use.
Newly discovered particles behave as powerful magnets that, one day, could change data storage.
Reactions with this extremely rare element could reveal previously unknown trends, benefiting studies of new nuclear reactor fuels.
Elucidating Cerium Solution Chemistry
A novel technique allows new insight into the barriers to fuel evolution.
Researchers computationally design a cheap, efficient catalyst that captures carbon dioxide and creates a chemical building block.
First-of-its-kind measurements provide insights on reactions that could one day turn sunlight and water into fuels.
Using computational methods, scientists tailor and adapt proteins to mine uranium from seawater.