Research Summaries

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.

New results could significantly improve resonance ionization mass spectrometry ultra-trace analysis of plutonium isotopes.

Particles choose partners for short-range correlations differently when farther apart in light nuclei versus when packed closer together in heavy nuclei.