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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.HC2026

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…

cs.AI2026

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…

cs.HC2026

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…

cs.HC2025

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…

hep-ex2025

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…

physics.ao-ph2025

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…