Research Summaries

Understanding how methanogenic bacteria can “bio-mine” minerals advances biotechnology and helps scientists understand the Earth’s geological history.

Theorists' hydrodynamic flow calculations accurately describe data from collisions of photons with lead nuclei at the ATLAS experiment.

The mixed metal waste common to industrial dumping sites causes metabolic stress in bacterial iron metabolism that cannot be explained by additive single metal exposure.

Interfaces made by stacking certain complex oxide materials can tune the quantum interactions between electrons, yielding exotic spin textures.

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.

In conflict with a long-held explanation of cadmium isotope motion, a new experiment found that cadmium-106 may rotate instead of vibrate.

Researchers detect an exotic electron phase called Wigner crystal in tungsten diselenide/tungsten disulfide moiré superlattices.

As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.

Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.