Maclean, John, Judith E. Bunder, IoannisG. Kevrekidis, and Anthony J. Roberts. 2021. “An Equation Free Algorithm Accurately Simulates Macroscale Shocks Arising From Heterogeneous Microscale Systems”. IEEE Journal on Multiscale and Multiphysics Computational Techniques 6: 8-15. Publisher’s Version: An Equation Free Algorithm Accurately Simulates Macroscale Shocks Arising From Heterogeneous Microscale Systems.

Bunder, Judith E., Jayaraman Divahar, IoannisG. Kevrekidis, Trent W. Mattner, and Anthony J. Roberts. 2021. “Large-Scale Simulation of Shallow Water Waves via Computation Only on Small Staggered Patches”. International Journal for Numerical Methods in Fluids 93 (4): 953-77. Publisher’s Version: Large-scale simulation of shallow water waves via computation only on small staggered patches.

Karniadakis, George Em, IoannisG. Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang. 2021. “Physics-Informed Machine Learning”. Nat Rev Phys 3: 422-40. Publisher’s Version: Physics-informed machine learning.

Jin, Pengzhan, Zhen Zhang, IoannisG. Kevrekidis, and George Em Karniadakis. n.d. “Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks”. arXiv.Org, E-Print Arch., Comp. Sci.. Publisher’s Version: Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks.

Redman, William T., Maria Fonoberova, Ryan Mohr, IoannisG. Kevrekidis, and Igor Mezic. n.d. “An Operator Theoretic Perspective on Pruning Deep Neural Networks”. arXiv.Org, E-Print Arch., Comp. Sci.. Publisher’s Version: An Operator Theoretic Perspective on Pruning Deep Neural Networks.

Guo, Yue, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, IoannisG. Kevrekidis, and Qianxiao Li. n.d. “Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators”. arXiv.Org, E-Print Arch., Math. Publisher’s Version: Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators.

Georgiou, Anastasia S., Juan M. Bello-Rivas, Charles William Gear, Hau-Tieng Wu, Eliodoro Chiavazzo, and IoannisG. Kevrekidis. 2017. “An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients”. Entropy 19. MDPI AG: 294/1. Publisher’s Version: An exploration algorithm for stochastic simulators driven by energy gradients.

Bertalan, Tom, Felix Dietrich, Igor Mezić, and IoannisG. Kevrekidis. 2019. “On Learning Hamiltonian Systems from Data”. Chaos 29: 121107. Publisher’s Version: On learning Hamiltonian systems from data.

Lovelett, Robert J., Evan M. Zhao, Makoto A. Lalwani, Jared E. Toettcher, IoannisG. Kevrekidis, and Jose L. Avalos. 2021. “Dynamical Modeling of Optogenetic Circuits in Yeast for Metabolic Engineering Applications”. ACS Synth. Biol. 10. American Chemical Society: 219-27. Publisher’s Version: Dynamical modeling of optogenetic circuits in yeast for metabolic engineering applications.

Junge, Oliver, and IoannisG. Kevrekidis. 2017. “On the Sighting of Unicorns: A Variational Approach to Computing Invariant Sets in Dynamical Systems”. Chaos 27. American Institute of Physics: 063102/1. Publisher’s Version: On the sighting of unicorns: A variational approach to computing invariant sets in dynamical systems.

Bunder, J. E., J. Divahar, IoannisG. Kevrekidis, Trent W. Mattner, and A. J. Roberts. 2019. “Large-Scale Simulation of Shallow Water Waves With Computation Only on Small Staggered Patches”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-54. Publisher’s Version: Large-scale simulation of shallow water waves with computation only on small staggered patches.

Phan, Trung V., Gao Wang, Tuan K. Do, IoannisG. Kevrekidis, Sarah Amend, Emma Hammarlund, Ken Pienta, Joel Brown, Liyu Liu, and Robert H. Austin. 2021. “It doesn’t Always Pay to Be Fit: Success Landscapes”. J Biol Phys 47: 387-400. Publisher’s Version: It doesn’t always pay to be fit: success landscapes.

Kemeth, Felix P., Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Qianxiao Li, Erik M. Bollt, Ronen Talmong, Katharina Krischer, and IoannisG. Kevrekidis. 2017. “An Equal Space for Complex Data With Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-11. Publisher’s Version: An equal space for complex data with unknown internal order: observability, gauge invariance and manifold learning.

Holiday, Alexander, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, and IoannisG. Kevrekidis. 2019. “Manifold Learning for Parameter Reduction”. J Comput Phys 392: 419-31. Publisher’s Version: Manifold learning for parameter reduction.

Thiem, Thomas N., Felix P. Kemeth, Tom Bertalan, Carlo R. Laing, and IoannisG. Kevrekidis. 2021. “Global and Local Reduced Models for Interacting, Heterogeneous Agents”. Chaos 31: 073139. Publisher’s Version: Global and local reduced models for interacting, heterogeneous agents.

Li, Qianxiao, Felix Dietrich, Erik M. Bollt, and IoannisG. Kevrekidis. 2017. “Extended Dynamic Mode Decomposition With Dictionary Learning: A Data-Driven Adaptive Spectral Decomposition of the Koopman Operator”. Chaos 27: 103111. Publisher’s Version: Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator.

Lee, Seungjoon, Felix Dietrich, George E. Karniadakis, and IoannisG. Kevrekidis. 2019. “Linking Gaussian Process Regression With Data-Driven Manifold Embeddings for Nonlinear Data Fusion”. Interface Focus 9: 20180083. Publisher’s Version: Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion.

Zhuang, Liwei, Peter Corkery, Dennis T. Lee, Seungjoon Lee, Mahdi Kooshkbaghi, Zhen-liang Xu, Gance Dai, IoannisG. Kevrekidis, and Michael Tsapatsis. 2021. “Numerical Simulation of Atomic Layer Deposition for Thin Deposit Formation in a Mesoporous Substrate”. AIChE J. 67. John Wiley & Sons, Inc.: e17305. Publisher’s Version: Numerical simulation of atomic layer deposition for thin deposit formation in a mesoporous substrate.

Lim, Bomyi, Carmeline J. Dsilva, IoannisG. Kevrekidis, and Stanislav Y. Shvartsman. 2017. “Reconstructing ERK Signaling in the Drosophila Embryo from Fixed Images”. Methods Mol. Biol. (N. Y., NY, U. S.) 1487. Springer: 337-51. Publisher’s Version: Reconstructing ERK signaling in the Drosophila embryo from fixed images.

Russo, Antonio, Miguel A. Duran-Olivencia, IoannisG. Kevrekidis, and Serafim Kalliadasis. 2019. “Deep Learning As Closure for Irreversible Processes: A Data-Driven Generalized Langevin Equation”. arXiv.Org, E-Print Arch., Condens. Matter. Cornell University Library, 1-40. Publisher’s Version: Deep learning as closure for irreversible processes: a data-driven generalized Langevin equation.

Morris, Ryan J., Trung V. Phan, Matthew Black, Ke-Chih Lin, IoannisG. Kevrekidis, Julia A. Bos, and Robert H. Austin. 2017. “Bacterial Population Solitary Waves Can Defeat Rings of Funnels”. New J. Phys. 19. IOP Publishing Ltd.: 035002/1. Publisher’s Version: Bacterial population solitary waves can defeat rings of funnels.

Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2020. “Manifold Learning for Organizing Unstructured Sets of Process Observations”. Chaos 30: 043108. Publisher’s Version: Manifold learning for organizing unstructured sets of process observations.

Siedlik, Michael J., Sriram Manivannan, IoannisG. Kevrekidis, and Celeste M. Nelson. 2017. “Cell Division Induces and Switches Coherent Angular Motion Within Bounded Cellular Collectives”. Biophys. J. 112. Cell Press: 2419-27. Publisher’s Version: Cell division induces and switches coherent angular motion within bounded cellular collectives.

Lee, Seungjoon, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I. Siettos, and IoannisG. Kevrekidis. 2020. “Coarse-Scale PDEs from Fine-Scale Observations via Machine Learning”. Chaos 30: 013141. Publisher’s Version: Coarse-scale PDEs from fine-scale observations via machine learning.

Villoutreix, Paul, Joakim Anden, Bomyi Lim, Hang Lu, IoannisG. Kevrekidis, Amit Singer, and Stanislav Y. Shvartsman. 2017. “Synthesizing Developmental Trajectories”. PLoS Comput. Biol. 13. Public Library of Science: e1005742/1. Publisher’s Version: Synthesizing developmental trajectories.

Lovelett, Robert J., Jose L. Avalos, and IoannisG. Kevrekidis. 2020. “Partial Observations and Conservation Laws: Gray-Box Modeling in Biotechnology and Optogenetics”. Ind. Eng. Chem. Res. 59. American Chemical Society: 2611-20. Publisher’s Version: Partial Observations and Conservation Laws: Gray-Box Modeling in Biotechnology and Optogenetics.

Voorsluijs, Valerie, IoannisG. Kevrekidis, and Yannick De Decker. 2017. “Nonlinear Behavior and Fluctuation-Induced Dynamics in the Photosensitive Belousov-Zhabotinsky Reaction”. Phys. Chem. Chem. Phys. 19. Royal Society of Chemistry: 22528-37. Publisher’s Version: Nonlinear behavior and fluctuation-induced dynamics in the photosensitive Belousov-Zhabotinsky reaction.

Lovelett, Robert J., Felix Dietrich, Seungjoon Lee, and IoannisG. Kevrekidis. 2020. “Some Manifold Learning Considerations Toward Explicit Model Predictive Control”. AIChE J. 66. John Wiley & Sons, Inc.: e16881. Publisher’s Version: Some manifold learning considerations toward explicit model predictive control.

Holiday, Alexander, and IoannisG. Kevrekidis. 2016. “Equation-Free Analysis of a Dynamically Evolving Multigraph”. Eur. Phys. J. Spec. Top. 225. Cornell University Library: 1281–1292. Publisher’s Version: Equation-free analysis of a dynamically evolving multigraph.

Yair, Or, Ronen Talmon, Ronald R. Coifman, and IoannisG. Kevrekidis. 2017. “Reconstruction of Normal Forms by Learning Informed Observation Geometries from Data”. Proc. Natl. Acad. Sci. U. S. A. 114. National Academy of Sciences: E7865. Publisher’s Version: Reconstruction of normal forms by learning informed observation geometries from data.

Peterfreund, Erez, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, IoannisG. Kevrekidis, and Ronald R. Coifman. 2020. “Local Conformal Autoencoder for Standardized Data Coordinates”. Proc. Natl. Acad. Sci. U. S. A. 117. National Academy of Sciences: 30918-27. Publisher’s Version: Local conformal autoencoder for standardized data coordinates.

Kemeth, Felix P., Sindre W. Haugland, Lennart Schmidt, IoannisG. Kevrekidis, and Katharina Krischer. 2016. “A Classification Scheme for Chimera States”. Chaos 26: 094815. Publisher’s Version: A classification scheme for chimera states.

Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2018. “Manifold Learning for Bifurcation Diagram Observations”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-5. Publisher’s Version: Manifold learning for bifurcation diagram observations.

Thiem, Thomas N., Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, and IoannisG. Kevrekidis. 2020. “Emergent Spaces for Coupled Oscillators”. Front Comput Neurosci 14: 36. Publisher’s Version: Emergent Spaces for Coupled Oscillators.

Misra, Mahim, Basile Audoly, IoannisG. Kevrekidis, and Stanislav Y. Shvartsman. 2016. “Shape Transformations of Epithelial Shells”. Biophys. J. 110. Cell Press: 1670-78. Publisher’s Version: Shape Transformations of Epithelial Shells.

Hiszpanski, Anna M., Carmeline J. Dsilva, IoannisG. Kevrekidis, and Yueh-Lin Loo. 2018. “Data Mining for Parameters Affecting Polymorph Selection in Contorted Hexabenzocoronene Derivatives”. Chem. Mater. 30. American Chemical Society: 3330-37. Publisher’s Version: Data Mining for Parameters Affecting Polymorph Selection in Contorted Hexabenzocoronene Derivatives.

Vaupel, Yannic, Nils C. Hamacher, Adrian Caspari, Adel Mhamdi, IoannisG. Kevrekidis, and Alexander Mitsos. 2020. “Accelerating Nonlinear Model Predictive Control through Machine Learning”. J. Process Control 92. Elsevier Ltd.: 261-70. Publisher’s Version: Accelerating nonlinear model predictive control through machine learning.

Sempkowski, Michelle, Charles Zhu, Monica Zofia Menzenski, IoannisG. Kevrekidis, Frank Bruchertseifer, Alfred Morgenstern, and Stavroula Sofou. 2016. “Sticky Patches on Lipid Nanoparticles Enable the Selective Targeting and Killing of Untargetable Cancer Cells”. Langmuir 32. American Chemical Society: 8329-38. Publisher’s Version: Sticky Patches on Lipid Nanoparticles Enable the Selective Targeting and Killing of Untargetable Cancer Cells.

Kemeth, Felix P., Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, and IoannisG. Kevrekidis. 2018. “An Emergent Space for Distributed Data With Hidden Internal Order through Manifold Learning”. IEEE Access 6: 77402-13. Publisher’s Version: An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning.

Zhao, Evan M., Makoto A. Lalwani, Robert J. Lovelett, Sergio A. Garcia-Echauri, Shannon M. Hoffman, Christopher L. Gonzalez, Jared E. Toettcher, IoannisG. Kevrekidis, and Jose L. Avalos. 2020. “Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering”. ACS Synth. Biol. 9. American Chemical Society: 3254-66. Publisher’s Version: Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering.

Bertalan, Tom, Yan Wu, Carlo Laing, C. William Gear, and IoannisG. Kevrekidis. 2017. “Coarse-Grained Descriptions of Dynamics for Networks With Both Intrinsic and Structural Heterogeneities”. Front Comput Neurosci 11: 43. Publisher’s Version: Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities.

Li, Jie, Domenico Bullara, Xuewen Du, Hongjian He, Stavroula Sofou, IoannisG. Kevrekidis, Irving R. Epstein, and Bing Xu. 2018. “Kinetic Analysis of Nanostructures Formed by Enzyme-Instructed Intracellular Assemblies Against Cancer Cells”. ACS Nano 12. American Chemical Society: 3804-15. Publisher’s Version: Kinetic analysis of nanostructures formed by enzyme-instructed intracellular assemblies against cancer cells.

Arbabi, Hassan, and IoannisG. Kevrekidis. 2021. “Particles to Partial Differential Equations Parsimoniously”. Chaos 31: 033137. Publisher’s Version: Particles to partial differential equations parsimoniously.

Chiavazzo, Eliodoro, Ronald R. Coifman, Roberto Covino, C. William Gear, Anastasia S. Georgiou, Gerhard Hummer, and IoannisG. Kevrekidis. 2017. “IMapD: Intrinsic Map Dynamics Exploration for Uncharted Effective Free Energy Landscapes”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-29. Publisher’s Version: iMapD: intrinsic Map Dynamics exploration for uncharted effective free energy landscapes.

Sroczynski, David W., Or Yair, Ronen Talmon, and IoannisG. Kevrekidis. 2018. “Data-Driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems”. Isr. J. Chem. 58. Wiley-VCH Verlag GmbH & Co. KGaA: 787-94. Publisher’s Version: Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems.

Jiang, Yundi, Xiao Chen, Jari Kolehmainen, IoannisG. Kevrekidis, Ali Ozel, and Sankaran Sundaresan. 2021. “Development of Data-Driven Filtered Drag Model for Industrial-Scale Fluidized Beds”. Chem. Eng. Sci. 230. Elsevier Ltd.: 116235. Publisher’s Version: Development of data-driven filtered drag model for industrial-scale fluidized beds.

Chiavazzo, Eliodoro, Roberto Covino, Ronald R. Coifman, C. William Gear, Anastasia S. Georgiou, Gerhard Hummer, and IoannisG. Kevrekidis. 2017. “Intrinsic Map Dynamics Exploration for Uncharted Effective Free-Energy Landscapes”. Proc. Natl. Acad. Sci. U. S. A. 114. National Academy of Sciences: E5494. Publisher’s Version: Intrinsic map dynamics exploration for uncharted effective free-energy landscapes.

Bertalan, Tom, Felix Dietrich, Igor Mesic, and IoannisG. Kevrekidis. 2019. “On Learning Hamiltonian Systems from Data”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-9. Publisher’s Version: On learning hamiltonian systems from data.

Kemeth, Felix P., Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, and IoannisG. Kevrekidis. 2021. “Initializing LSTM Internal States via Manifold Learning”. Chaos 31: 093111. Publisher’s Version: Initializing LSTM internal states via manifold learning.

Adomaitis, RaymondA., and IoannisG. Kevrekidis. (1991) 1991. “Noninvertibility and the Structure of Basins of Attraction in a Model Adaptive Control System”. Journal of Nonlinear ScienceJournal of Nonlinear Science 1 (1): 95-105. Referenced from dx.doi.org: Noninvertibility and the structure of basins of attraction in a model adaptive control system.