Forefront nuclear physics capabilities and machine-learning data analyses combine to generate new information on quantum energy levels in sulfur-38.
Neural networks guided by physics are creating new ways to observe the complexities of plasmas.
Perturbing the edge magnetic field of a tokamak produces a counterintuitive response: particles entering the confined region rather than escaping it.
Scientists investigate neutrinoless double beta decay through neutrino mass and the nuclear structure of germanium-76.
A measurement tracking ‘direct’ photons from polarized proton collisions points to positive gluon polarization.
New theoretical work indicates that the future Electron Ion Collider can be used to measure the shape of atomic nuclei.
A newly discovered excited state in radioactive sodium-32 has an unusually long lifetime, and its shape dynamics could be the cause.
Machine learning and artificial intelligence accelerate nanomaterials investigations.
A new microscopy technique measures atomic-level distortions, twist angles, and interlayer spacing in graphene.
New computational methods “fingerprint” polymer motions under flow.
A new system for detecting photons in laser-powered quantum computers brings these systems closer to reality.
This new Laue lens system received a 2022 Microscopy Today Innovation Award.
