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Jack T. Beerman

Observed names: Beerman, Jack, Beerman, Jack T., Jack Beerman
ORCID: 0000-0002-6303-5556
Observed ORCID: 0000-0002-6303-5556
OpenAlex ID: A5078597388
A Review of Colonial Pipeline Ransomware Attack
2023 · Jack Beerman, David Berent, et al. · 116
Physics-aware recurrent convolutional neural networks for modeling multiphase compressible flows
2024 · Xinlun Cheng, Phong C.H. Nguyen, et al. · International Journal of Multiphase Flow · 14
A Scoping Review of Three Dimensions for Long-Term COVID-19 Vaccination Models: Hybrid Immunity, Individual Drivers of Vaccinal Choice, and Human Errors
2022 · Jack T. Beerman, Gwendal G. Beaumont, et al. · Vaccines · 4
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Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA
2023 · Kareem Ghumrawi, Kim Ha, et al. · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 3
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Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?
2024 · Philippe J. Giabbanelli, Jack T. Beerman · Winter Simulation Conference · 1
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G-PARC: Graph-Physics Aware Recurrent Convolutional neural networks for spatiotemporal dynamics on unstructured meshes
2026 · Jack T. Beerman, Tyler J. Abele, et al. · Scientific Reports
Adaptive Discretization in Physics-Aware Deep Learning
2026 · Beerman, Jack · Libra
G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
2026 · Beerman, Jack T., Abele, Tyler J., et al. · arXiv (Cornell University)
G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
2026 · Beerman, Jack T., Abele, Tyler J., et al. · arXiv (Cornell University)
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Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning
2026 · Beerman, Jack T., Roy, Shobhan, et al. · arXiv (Cornell University)
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A framework for the comparison of errors in agent-based models using machine learning
2023 · Jack T. Beerman, Gwendal G. Beaumont, et al. · Journal of Computational Science
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On the Necessity of Human Decision-Making Errors to Explain Vaccination Rates for Covid-19: an Agent-Based Modeling Study
2023 · Beerman, Jack, Beaumont, Gwendal, et al. · HAL (Le Centre pour la Communication Scientifique Directe)
Works count: 12
Citation count: 138
H-index: 3
I10-index: 2
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