Discussion of Genesis Proposals

• Aobo Li
• Ann-Kathrin Schuetz
• Brian Fujikawa (Lawrence Berkeley National Laboratory)
• Simon Mak (Duke University)
• Chun Shen (Wayne State University)

Here are the proposed talks (5-10 min, 1-2 slides). If we run out of time, we will save the talks for the next meeting. Li — The Petabyte Solution: Using AI to Overcome Simulation and Calibration Bottlenecks in Next-Generation Liquid Xenon Experiments Li — Denoising Quantum Sensors: Agentic Algorithm Creation and Real-Time AI for Quantum-Enabled Rare Event Discovery Schuetz — Accelerating Rare-Event Discovery with Surrogate Modeling Shen — FLASH — Fast Learning-based Approaches for Simulating High-energy nuclear collisions Shen — Generative Foundation Model for Discovery of Rare QCD Emergent Phenomena Fujikawa — Causally Grounded World Models for Autonomous Rare-Event Scientific Instruments ______ Mak — A Closed-Loop, Uncertainty-Aware AI Framework for Genome-to-Function Mapping in Microbial Communities Mak — CLARION-HC: Closed-Loop Autonomous Research of Inorganic Oxide Nanocrystals for Heterogeneous Catalysis Schuetz — "Foundation Model for Germanium Detector Data Li — Developing a Foundation Model to Unify Neutrinoless Double Beta Decay Search Technologies Li — "Neutrino Discovery Platform: Using AI to Unlock the Full Potential of Experimental Datasets Li — LEAP-FWD: Low-latency Embedded AI for Physics—From Waveforms to Discovery