Publications (5)
Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors
J. Kvapil, G. Borca-Tasciuc, H. Bossi +30
This R\&D project, initiated by the DOE Nuclear Physics AI-Machine Learning initiative in 2022, leverages AI to address data processing challenges in high-energy nuclear experiment…
A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
J. Kvapil, G. Borca-Tasciuc, H. Bossi +28
The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of…
Negative refraction in hyperbolic hetero-bicrystals
A. J. Sternbach, S. L. Moore, A. Rikhter +12
We visualized negative refraction of phonon polaritons, which occurs at the interface between two natural crystals. The polaritons - hybrids of infrared photons and lattice vibrati…
Seeing moiré superlattices
L. J. McGilly, A. Kerelsky, N. R. Finney +17
Moiré superlattices in van der Waals (vdW) heterostructures have given rise to a number of emergent electronic phenomena due to the interplay between atomic structure and electron…
Artificial Intelligence for the Electron Ion Collider (AI4EIC)
C. Allaire, R. Ammendola, E. -C. Aschenauer +92
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune t…