Research Summaries

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.

Fine roots grow dramatically faster in an experimentally warmed peatland

Computers learn from a combination of experimental and evolutionary data to enhance the function of useful proteins.

A new model predicts small-scale differences in methane emissions from tropical soils on a hillside during drought and recovery.