January 2023   |   Biology

Computing function from form

Georgia Tech and Oak Ridge National Laboratory researchers extend AI’s prediction prowess to complex protein structures.

Engineering, New Faces
December 2022

Reconfiguring it out

A UT-Arlington researcher plumbs reconfigurable quantum circuits for high-performance computers and cellphones.

Computer Science, New Faces
November 2022


An Early Career awardee wants to automate the most vexing aspects of traditional scientific software development for supercomputers.

New Faces, Visualization
November 2022

Seeing the big picture

A Tulane professor smoothes visualization of large data sets.

Science Highlights

October 2022

Untangling quantum entanglement

An Oak Ridge-led team identifies a promising so-called entanglement witnesses to identify pairs of entangled magnetic particles.

Proving quantum entanglement – when a magnetic particle’s spin mirrors another’s properties and behavior regardless of their distance from each other – has been a major challenge in quantum information science. The team studied an entanglement witness, or method for identifying entanglement, called QFI  (quantum Fisher information) by applying the witness to neutron scattering experiments at the Spallation Neutron Source, a Department of Energy user facility at DOE’s Oak Ridge National Laboratory. Because of their neutral charge and nondestructive nature, the neutrons provided valuable insights into the properties of two different spin chains, or linear lines of connected spins within quantum materials. To validate their results, the researchers also ran computational simulations and analyzed data from older experiments conducted at the ISIS Neutron Source and the Institut Laue-Langevin.

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