Each year, scientists with the Office of Science, at our national laboratories, and supported by the Office of Science at the nation’s colleges and universities, publish thousands of research findings in the scientific literature. About 200 of these are selected annually by their respective program areas in the Office of Science as publication highlights of special note.
For the archive of past publication highlights, click here.
October 18, 2022
A New Tandem Catalyst Converts Carbon Dioxide into Valuable Multicarbon Products More Selectively
Electrode engineering produces unprecedented selectivity, and high rates of carbon dioxide reduction to multicarbon products.
October 13, 2022
Fighting Cancer on Earth and in Space Using High-Energy Protons
High-energy proton experiments optimize production of medical imaging isotopes while providing insight into how to protect astronauts from space radiation.
October 11, 2022
Discovered Tetraneutron Resonance Confirms Theoretical Predictions
Long predicted by theory with support from supercomputers, this combination of neutrons advances nuclear physics
October 7, 2022
Watching Plants Switch on Genes
A new UV-visible protein allows researchers to see gene expression in plants without special equipment.
October 5, 2022
To Better Predict Extreme Precipitation, Scientists Model Cloud Microphysics
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
October 3, 2022
Spilling the Secrets of Quantum Entanglement
Quantum technique accelerates identification of entangled materials.
September 30, 2022
How Stiff Is the Proton?
Scientists measure the proton’s electric and magnetic polarizabilities using the High Intensity Gamma Ray Source (HIGS).
September 28, 2022
Near-Threshold Resonance Helps Explain a Controversial Measurement of Exotic Decay in Beryllium-11
The observation of a resonance in the boron-11 nucleus suggests that the proton emission from beryllium-11 is a two-step process rather than a dark matter decay channel.
September 26, 2022
Deep Learning Uses Stream Discharge to Estimate Watershed Subsurface Permeability
Researchers used deep learning methods to estimate the subsurface permeability of a watershed from readily available stream discharge measurements.
September 23, 2022
Unveiling the Existence of the Elusive Tetraneutron
Experiments confirm the NUCLEI collaboration’s predictions of the existence of the tetraneutron.