694 citations · 2.3k across the 36 of their papers we have counts for
37 papers
Rethinking the AI Scientist: Interactive Multi-Agent Workflows for Scientific Discovery
Lukas Weidener, Marko Brkić, Mihailo Jovanović +5
Artificial intelligence systems for scientific discovery have demonstrated remarkable potential, yet existing approaches remain largely proprietary and operate in batch-processing…
From Task Executors to Research Partners: Evaluating AI Co-Pilots Through Workflow Integration in Biomedical Research
Lukas Weidener, Marko Brkić, Chiara Bacci +7
Artificial intelligence systems are increasingly deployed in biomedical research. However, current evaluation frameworks may inadequately assess their effectiveness as research col…
Probing Partonic Evolution and Hadronization via Balance Functions and Correlations of Charmed Hadrons
Oveis Sheibani, Claude Pruneau, Victor Gonzalez +5
Predictions of charm correlation functions and more specifically balance functions are presented in proton--proton (pp) collisions at sqrt(s_NN) = 13 TeV based on the PYTHIA 8.3 ev…
Medium-induced modification of azimuthal correlations of electrons from heavy-flavor hadron decays with charged particles in Pb--Pb collisions at TeV
ALICE Collaboration
The azimuthal-correlation distributions between electrons from the decays of heavy-flavor hadrons and associated charged particles in PbPb collisions at $\sqrt{s_{\mathrm{NN}}}…
Data Preservation in High Energy Physics
Alexandre Arbey, Jamie Boyd, Daniel Britzger +45
Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful c…
Investigating late-stage particle production in pp collisions with Balance Functions
Alexandru Manea, Claude Pruneau, Diana Catalina Brandibur +4
Balance functions have been regarded in the past as a method of investigating the late-stage hadronization found in the presence of a strongly-coupled medium. They are also used to…