PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence
 Sirignano, J MacArt, J Spiliopoulos, K (18 May 2021)
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies
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Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
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Deep Learning Closure of the Navier-Stokes Equations for Transition-Continuum Flows
 Nair, A Sirignano, J Panesi, M MacArt, J (21 Mar 2023)
Online Optimisation of Machine Learning Collision Models to Accelerate Direct Molecular Simulation of Rarefied Gas Flows
 Ball, N MacArt, J Sirignano, J (20 Nov 2024)
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
 Lam, S Sirignano, J Spiliopoulos, K (14 Jan 2025)
Global Convergence of Adjoint-Optimized Neural PDEs
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Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
 Lam, S Sirignano, J Spiliopoulos, K (21 Jun 2025)
Physics-Based Machine Learning Closures and Wall Models for Hypersonic Transition-Continuum Boundary Layer Predictions
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Topics in Graph Automorphisms and Reconstruction by Josef Lauri and Raffaele Scapellato, Cambridge University Press, 2003, 172 pp. £47.50; $65.00 HB, £16.95; $23.00, PB ISBN 0521821517HB, 0521529034 PB -
 Scott, A Combinatorics Probability Computing volume 13 issue 1 121-122 (19 Jan 2004)
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