Understanding how methanogenic bacteria can “bio-mine” minerals advances biotechnology and helps scientists understand the Earth’s geological history.
Powerful statistical tools, simulations, and supercomputers explore a billion different nuclear forces and predict properties of the very-heavy lead-208 nucleus.
Patterned arrays of nanomagnets produce X-ray beams with a switchable rotating wavefront twist.
Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.
Particles choose partners for short-range correlations differently when farther apart in light nuclei versus when packed closer together in heavy nuclei.
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
The results of parity-violating electron scattering experiments PREX and CREX suggest a disagreement with global nuclear models.
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.
