586 citations · 1.7k across the 28 of their papers we have counts for
29 papers
Accelerating scientific discovery with the common task framework
J. Nathan Kutz, Peter Battaglia, Michael Brenner +12
Machine learning (ML) and artificial intelligence (AI) algorithms are transforming and empowering the characterization and control of dynamic systems in the engineering, physical,…
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…
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg +5
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that take advantage of the intrinsic multi-level nature of…
Stability of entrainment of a continuum of coupled oscillators
Jordan Snyder, Anatoly Zlotnik, Aric Hagberg
We examine the design of the entrainment process for an uncountably infinite collection of coupled phase oscillators that are all subject to the same periodic driving signal. In th…
Detection of Cyber-Physical Faults and Intrusions from Physical Correlations
Andrey Y. Lokhov, Nathan Lemons, Thomas C. McAndrew +2
Cyber-physical systems are critical infrastructures that are crucial both to the reliable delivery of resources such as energy, and to the stable functioning of automatic and contr…
The phase transition in inhomogeneous random intersection graphs
Milan Bradonjić, Aric Hagberg, Nicolas W. Hengartner +2
We analyze the component evolution in inhomogeneous random intersection graphs when the average degree is close to 1. As the average degree increases, the size of the largest compo…