Award Abstract # 2106566
Spiral Waves and Target Patterns

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: BROWN UNIVERSITY
Initial Amendment Date: June 7, 2021
Latest Amendment Date: June 7, 2021
Award Number: 2106566
Award Instrument: Standard Grant
Program Manager: Pedro Embid
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: July 1, 2021
End Date: June 30, 2024 (Estimated)
Total Intended Award Amount: $350,000.00
Total Awarded Amount to Date: $350,000.00
Funds Obligated to Date: FY 2021 = $350,000.00
History of Investigator:
  • Bjorn Sandstede (Principal Investigator)
    Bjorn_Sandstede@brown.edu
Recipient Sponsored Research Office: Brown University
1 PROSPECT ST
PROVIDENCE
RI  US  02912-9100
(401)863-2777
Sponsor Congressional District: 01
Primary Place of Performance: Brown University
182 George Street, Box F
Providence
RI  US  02912-9023
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): E3FDXZ6TBHW3
Parent UEI: E3FDXZ6TBHW3
NSF Program(s): APPLIED MATHEMATICS
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9150, 9251
Program Element Code(s): 126600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Many biological, chemical, and physical processes exhibit spiral waves and target patterns. Spiral waves occur, for instance, in autocatalytic chemical reactions, during cellular signaling of amoebae, and in cardiac tissue where they are often the cause of cardiac arrhythmias and the precursor to ventricular fibrillation and cardiac arrest. Similarly, target patterns appear prominently in autocatalytic reactions and are also often found in systems with small spatial inhomogeneities. This project focuses on understanding when spiral waves and target patterns arise, under which conditions they can be observed, and what mechanisms cause them to change their shape or disappear. The investigator will develop analytical, computational, and geometric tools to answer these questions and apply the findings to models of autocatalytic chemical reactions and wave propagation in cardiac tissue. Graduate and undergraduate students will be engaged in these research activities.

This project focuses on understanding existence, multiplicity, stability, and bifurcations of spiral waves and target patterns through the development of spatial-dynamics methodologies that can be applied to a broad range of reaction-diffusion systems. The investigator will establish multiplicity results for one-dimensional spiral waves and target patterns in reaction-diffusion systems using spatial dynamics and apply these results to the Brusselator model. The second project centers on transverse instabilities of spiral waves and target patterns. Transverse instabilities do not contribute to the spectra of planar structures, though they do cause linear instabilities. The aim is to investigate how these instabilities manifest themselves on large bounded disks. The third project focuses on making the numerical computation of spiral spectra more robust by developing preconditioners that rely on appropriate exponential weights to reduce the norm of the resolvent independently of the size of the domain. In the last project, singular perturbation methods will be developed to understand the limits of profiles and spectra of planar spiral waves and target patterns when some of the diffusion coefficients in the model approach zero.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 12)
Bergland, Erik and Bramburger, Jason J and Sandstede, Björn "Localized synchronous patterns in weakly coupled bistable oscillator systems" Physica D: Nonlinear Phenomena , v.472 , 2025 https://doi.org/10.1016/j.physd.2025.134537 Citation Details
Bhaskar, Dhananjay and Zhang, William Y. and Volkening, Alexandria and Sandstede, Björn and Wong, Ian Y. "Topological data analysis of spatial patterning in heterogeneous cell populations: clustering and sorting with varying cell-cell adhesion" npj Systems Biology and Applications , v.9 , 2023 https://doi.org/10.1038/s41540-023-00302-8 Citation Details
Ciocanel, Maria-Veronica and Ding, Lee and Mastromatteo, Lucas and Reichheld, Sarah and Cabral, Sarah and Mowry, Kimberly and Sandstede, Björn "Parameter Identifiability in PDE Models of Fluorescence Recovery After Photobleaching" Bulletin of Mathematical Biology , v.86 , 2024 https://doi.org/10.1007/s11538-024-01266-4 Citation Details
Cleveland, Electa and Zhu, Angela and Sandstede, Björn and Volkening, Alexandria "Quantifying Different Modeling Frameworks Using Topological Data Analysis: A Case Study with Zebrafish Patterns" SIAM Journal on Applied Dynamical Systems , v.22 , 2023 https://doi.org/10.1137/22M1543082 Citation Details
Demetci, Pinar and Santorella, Rebecca and Chakravarthy, Manav and Sandstede, Bjorn and Singh, Ritambhara "SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation" Journal of Computational Biology , v.29 , 2022 https://doi.org/10.1089/cmb.2022.0270 Citation Details
Demetçi, Pinar and Santorella, Rebecca and Sandstede, Bjorn and Singh, Ritambhara "Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation" RECOMB 2022: Research in Computational Molecular Biology , 2022 https://doi.org/10.1007/978-3-031-04749-7_1 Citation Details
Dodson, Stephanie and Sandstede, Björn "Behavior of Spiral Wave Spectra with a Rank-Deficient Diffusion Matrix" SIAM Journal on Mathematical Analysis , v.54 , 2022 https://doi.org/10.1137/21M1455917 Citation Details
Ivanov, Milen and Sandstede, Björn "Spectral Stability of Contact Defects on Large Bounded Domains" Journal of Nonlinear Science , v.35 , 2025 https://doi.org/10.1007/s00332-025-10163-6 Citation Details
Ivanov, Milen and Sandstede, Björn "Truncation of Contact Defects in Reaction-Diffusion Systems" SIAM Journal on Applied Dynamical Systems , v.23 , 2024 https://doi.org/10.1137/23M1546257 Citation Details
Parker, Ross and Sandstede, Björn "Periodic multi-pulses and spectral stability in Hamiltonian PDEs with symmetry" Journal of Differential Equations , v.334 , 2022 https://doi.org/10.1016/j.jde.2022.06.019 Citation Details
Slyman, Katherine and Simper, Mackenzie and Gemmer, John A and Sandstede, Björn "Most Probable Escape Paths in Perturbed Gradient Systems" SIAM Journal on Applied Dynamical Systems , v.24 , 2025 https://doi.org/10.1137/24M1679872 Citation Details
(Showing: 1 - 10 of 12)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Many biological, chemical, and physical processes exhibit spiral waves and target patterns. Spiral waves occur, for instance, in autocatalytic chemical reactions, during cAMP signaling of amoebae, as calcium waves in frog oocytes, and in cardiac tissue where they can cause cardiac arrhythmias. Similarly, target patterns appear prominently in autocatalytic reactions and are also often found in systems with small spatial inhomogeneities. Amongst the theoretical results of this project are the prediction of robustness, multiplicity, and stability properties of patterned structures and waves, the discovery and analysis of new synchronization and recruitment mechanisms of processes posed on networks and graphs, and the development of preconditioners, and an explanation of their convergence and numerical stability properties, for numerical solvers that help probe for the temporal stability of spiral waves. Amongst the applied outcomes are the design of algorithms for the inference of gene-regulatory networks, for the data-driven continuation of patterned states in reaction-diffusion models, and for the quantification and classification of patterns emerging in models of heterogeneous cell populations. The project provided training opportunities for undergraduate research students, 5 PhD students, and 3 postdoctoral fellow. The results obtained by undergraduate researchers, graduate students, and postdocs were published in premier mathematical journals and presented at national and international conferences.


Last Modified: 08/26/2024
Modified by: Bjorn Sandstede

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