Research Summaries

Leveraging peeling physics in current tokamaks improves fusion performance and integrates with exhaust solutions for future fusion reactors.

The novel Lyman-alpha Measurement Apparatus (LLAMA) measures neutral particles in a fusion device and the fueling they provide.

Using an ensemble of artificial intelligence (AI) agents enabled faster, more accurate data analysis of synchrotron x-ray data.

Machine Learning offers New Insights and New Parameterization for the path from Drizzle Drops to Warm Rain

Biological production of acetone and isopropanol by gas fermentation captures more carbon than it releases.

Noise estimation circuits, in conjunction with other error mitigation methods, produce reliable results for quantum computer-based materials simulations.

Adding a little oxygen to particle accelerator structures may make them more efficient and easier to build.

Laboratory measurements give new insights into the physics of auroral electron acceleration by Alfvén waves.

Monitoring photo-excited electrons in real time with nanometer sensitivity reveals strengths and weaknesses in a common light-harvesting material.

Researchers enable real-time adjustments to communication among three remote nodes in a quantum network.