In a study published in Physical Review C, researchers used machine learning-assisted analysis to determine the unique quantum energy levels—a “fingerprint” formed through the rearrangement of the protons and neutrons—in the nucleus of sulfur-38.
In a Nano Letters paper, researchers contribute to our understanding of multiexciton photophysics and highlight the practical applications in technologies requiring radiative multiexcitonic emission.
Scientists study a key reaction in X-ray bursts, shedding light on the reaction mechanisms behind thermonuclear flare-ups observed during these events.
In a Patterns paper, scientists present a toolkit for automatic extraction and annotation of images from the scientific literature by use of rule-based natural language processing and image recognition.
In a Journal of Chemical Physics paper, scientists present a reinforcement learning algorithm that effectively models mesoscale aggregation phenomena in liquid-liquid mixtures.