2 citations · 2 across the 3 of their papers we have counts for
3 papers
InferA: A Smart Assistant for Cosmological Ensemble Data
Justin Z. Tam, Pascal Grosset, Divya Banesh +3
Analyzing large-scale scientific datasets presents substantial challenges due to their sheer volume, structural complexity, and the need for specialized domain knowledge. Automatio…
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe +7
We present VizGenie, a self-improving, agentic framework that advances scientific visualization through large language model (LLM) by orchestrating of a collection of domain-specif…
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations
Soumya Dutta, Terece Turton, David Rogers +3
The study of multiphase flow is essential for understanding the complex interactions of various materials. In particular, when designing chemical reactors such as fluidized bed rea…