
Machine Learning Takes Hold in Nuclear Physics
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
Roughening of fusion reactor wall surfaces over time may significantly reduce erosion rate predictions
Researchers use CRISPR to engineer a bacteriophage to deliver DNA into targeted members of microbial communities for precise genome editing.
Scientists analyzed detonation formation in hydrogen/methane air mixtures, quantifying the effect of non-thermal reactions on the mechanism of detonation.
A novel experiment sheds new light on a possible mechanism that may seed magnetic fields for the galactic dynamo.
New improvements to an open-source platform streamline enzyme engineering.
Even microbes that can’t break down a plentiful food source can still be successful by interacting with fellow community members.
New measurements show the proton’s electromagnetic structure deviates from theoretical predictions.
AI reveals relationships between weather systems and cloud physics.
Three common solvents for pretreating switchgrass yield lignin extracts with the potential for making different valuable bioproducts.
Using a novel combination of advanced research techniques, scientists show how the roots of various tropical plants react to harsh conditions.
Researchers develop the first 2D telecommunication-compatible quantum light source, smoothing the path toward a quantum internet.