Publications

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  • Velocity-time curve with feature points and scatter plot correlations.

    Impact of inlet velocity waveform shape on hemodynamics

    Journal of Computational Science

    Justen R. Geddes, Timothy D. King, Cyrus Tanade, William Ladd, Nusrat Sadia Khan, Amanda Randles

    Read more: Impact of inlet velocity waveform shape on hemodynamics
  • Workflow diagram of offline modeling and online planning for blood flow.

    Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework

    Journal of Computational Science

    Cyrus Tanade, Amanda Randles

    Read more: Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework
  • Active processes on chromatin

    Activity-driven chromatin organization during interphase: Compaction, segregation, and entanglement suppression

    Proceedings of the National Academy of Sciences

    Brian Chan and Michael Rubinstein

    Read more: Activity-driven chromatin organization during interphase: Compaction, segregation, and entanglement suppression
  • Overview of chromatin organization

    Theory of chromatin organization maintained by active loop extrusion

    Proceedings of the National Academy of Sciences

    Brian Chan and Michael Rubinstein

    Read more: Theory of chromatin organization maintained by active loop extrusion
  • T cells examples

    Establishing a massively parallel computational model of the adaptive immune response

    Journal of Computational Science

    Aristotle Martin, Max Nezdyur, Cyrus Tanade, Amanda Randles

    Read more: Establishing a massively parallel computational model of the adaptive immune response
  • Graph representing data from project

    Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties

    Comptes Rendus. Mécanique

    Brian Staber; Johann Guilleminot

    Read more: Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties
  • Publication icon

    Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case

    ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

    Brian Staber, Johann Guilleminot

    Read more: Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case
  • Cover of Journal of the Mechanical Behavior of Biomedical Materials

    Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability

    Journal of the Mechanical Behavior of Biomedical Materials

    B. Staber, J. Guilleminot

    Read more: Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability
  • Cover of Computer Methods in Applied Mechanics and Engineering

    A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics

    Computer Methods in Applied Mechanics and Engineering

    B. Staber, J. Guilleminot

    Read more: A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics
  • Cover of Computer Methods in Applied Mechanics and Engineering

    Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation

    Computer Methods in Applied Mechanics and Engineering

    Peiyi Chen, Johann Guilleminot

    Read more: Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation
  • Hand holder a computer chip

    High-performance computing at a crossroads

    Science

    Ewa Deelman , Jack Dongarra, Bruce Hendrickson, Amanda Randles, Daniel Reed, Edward Seidel, and Katherine Yelick

    Read more: High-performance computing at a crossroads
  • Infographic describing the research

    A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

    npj Digital Medicine

    Md Mobashir Hasan Shandhi, Peter J. Cho, Ali R. Roghanizad, Karnika Singh, Will Wang, Oana M. Enache, Amanda Stern, Rami Sbahi, Bilge Tatar, Sean Fiscus, Qi Xuan Khoo, Yvonne Kuo, Xiao Lu, Joseph Hsieh, Alena Kalodzitsa, Amir Bahmani, Arash Alavi, Utsab Ray, Michael P. Snyder, Geoffrey S. Ginsburg, Dana K. Pasquale, Christopher W. Woods, Ryan J. Shaw & Jessilyn P. Dunn

    Read more: A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19