Physics-informed machine learning of the correlation functions in bulk fluids von Chen, Wenqian, Gao, Peiyuan, Stinis, Panos

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Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model von Chen, Wenqian, Fu, Yucheng, Stinis, Panos

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Renormalized Reduced Order Models with Memory for Long Time Prediction von Price, Jacob, Stinis, Panos

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Doing the Impossible: Why Neural Networks Can Be Trained at All von Hodas, Nathan O, Stinis, Panos

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Critical evaluation of Wind Turbines’ analytical wake models von Kaldellis, John K., Triantafyllou, Panagiotis, Stinis, Panagiotis

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A hybrid deep neural operator/finite element method for ice-sheet modeling von He, QiZhi, Perego, Mauro, Howard, Amanda A., Karniadakis, George Em, Stinis, Panos

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Optimal prediction and the rate of decay for solutions of the Euler equations in two and three dimensions von Hald, Ole H, Stinis, Panagiotis

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A comparative study of two stochastic mode reduction methods von Stinis, Panagiotis

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A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness von Lei, Huan, Li, Jing, Gao, Peiyuan, Stinis, Panagiotis, Baker, Nathan A.

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A maximum likelihood algorithm for the estimation and renormalization of exponential densities von Stinis, Panagiotis

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A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness von Lei, Huan, Li, Jing, Gao, Peiyuan, Stinis, Panagiotis, Baker, Nathan A.

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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks von Stinis, Panos, Hagge, Tobias, Tartakovsky, Alexandre M., Yeung, Enoch

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Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: The Impacts of Closure Assumption and Process Coupling von Wan, Hui, Woodward, Carol S., Zhang, Shixuan, Vogl, Christopher J., Stinis, Panos, Gardner, David J., Rasch, Philip J., Zeng, Xubin, Larson, Vincent E., Singh, Balwinder

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Stochastic Optimal Prediction for the Kuramoto--Sivashinsky Equation von Stinis, Panagiotis

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Higher Order Mori–Zwanzig Models for the Euler Equations von Stinis, Panagiotis

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Problem reduction, renormalization, and memory von Chorin, Alexandre, Stinis, Panagiotis

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Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding von Kim, Youngeun, Kahana, Adar, Yin, Ruokai, Li, Yuhang, Stinis, Panos, Karniadakis, George Em, Panda, Priyadarshini

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Dimensional reduction as a tool for mesh refinement and trackingsingularities of PDEs von Stinis, Panagiotis

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A phase transition approach to detecting singularities of partial differential equations von Stinis, Panagiotis

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A maximum likelihood algorithm for the estimation andrenormalization of exponential densities von Stinis, Panagiotis

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