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Workshop
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AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
Siddhant Dutta · Nouhaila Innan · Sadok Ben Yahia · Muhammad Shafique
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Workshop
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Geometry-aware PINNs for Turbulent Flow Prediction
Shinjan Ghosh · Julian Busch · Georgia Olympia Brikis · Biswadip Dey
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Workshop
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Using Parametric PINNs for Predicting Internal and External Turbulent Flows
Shinjan Ghosh · Amit Chakraborty · Georgia Olympia Brikis · Biswadip Dey
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Workshop
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Enhanced PINNs for high-order power grid dynamics
Vineet Jagadeesan Nair
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Workshop
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Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
Anthony Baez · Wang Zhang · Ziwen Ma · Subhro Das · Lam Nguyen · Luca Daniel
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Workshop
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History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
Jassem Abbasi · Ben Moseley · Takeshi Kurotori · Ameya Jagtap · Anthony Kovscek · Aksel Hiorth · Pål Andersen
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Poster
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Fri 11:00
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How does PDE order affect the convergence of PINNs?
Chang hoon Song · Yesom Park · Myungjoo Kang
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Workshop
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Survey: Adaptive Physics-informed Neural Networks
Edgar Torres Rios · Mathias Niepert
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