AID2E - AI-assisted Detector Design

AID2E in NPPS

Contributors  

Wen Guan		iDDS Lead Developer
Kolja Kauder		Geant4 Collaboration Member
Torre Wenaus		ePIC Deputy Software and Computing Coordinator

Technical areas  
    AI/ML    
    High performance computing    
    Simulation    
    Workflow and workload management    

Software  
    Intelligent data delivery system (iDDS)    
    PanDA workload management system    
    Rucio    

Related materials

AID2E is a project that aims to develop a scalable and distributed AI-assisted detector design for the Electron-Ion Collider (EIC). The project leverages advanced machine learning techniques to optimize the design of EIC detectors, principally ePIC at present. It is supported by DOE NP. Project PI is Cristiano Fanelli (William & Mary), BNL PI is Torre Wenaus.

References

• AI-assisted detector design for the EIC, 2024 JINST 19 C07001

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