From the 1 of 6 linked papers with an AI index.
6 papers
Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Aashish Panta, Hugo Lee, Giorgio Scorzelli +2
Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are…
Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting
Ishrat Jahan Eliza, Xuan Huang, Aashish Panta +4
The paper presents a framework that lets scientists create 3D animations of petascale, time‑varying datasets on a standard workstation using a keyframe‑based animation descriptor a…
Large Data Acquisition and Analytics at Synchrotron Radiation Facilities
Aashish Panta, Giorgio Scorzelli, Amy A. Gooch +11
Synchrotron facilities like the Cornell High Energy Synchrotron Source (CHESS) generate massive data volumes from complex beamline experiments, but face challenges such as limited…
Climate Data for Power Systems Applications: Lessons in Reusing Wildfire Smoke Data for Solar PV Studies
Arleth Salinas, Irtaza Sohail, Valerio Pascucci +8
Data reuse is using data for a purpose distinct from its original intent. As data sharing becomes more prevalent in science, enabling effective data reuse is increasingly important…
The Making of a Community Dark Matter Dataset with the National Science Data Fabric
Amy Roberts, Jack Marquez, Kin Hong NG +9
Dark matter is believed to constitute approximately 85 percent of the universes matter, yet its fundamental nature remains elusive. Direct detection experiments, though globally de…
Scalable Climate Data Analysis: Balancing Petascale Fidelity and Computational Cost
Aashish Panta, Amy Gooch, Giorgio Scorzelli +2
The growing resolution and volume of climate data from remote sensing and simulations pose significant storage, processing, and computational challenges. Traditional compression or…