Publications

 

  1. K. Lee, C. Maher, K. Newhall, R. Hurley (2026) Mechanism of Band Gap Formation in Beam Networks, arXiv:2606.24860
  2. C. Maher, J. Marzuola, K. Newhall (2026) Probing the influence of topological and geometric disorder on the spectrum of the differential Laplacian operator on networks, arXiv:2602.22341
  3. J. Raj, X. Sun, C. Maher, K. Newhall, M. Porter (2025) Local Geometric and Transport Properties of Networks that are Generated from Hyperuniform Point Patterns, ArXiv
  4. K. Moody, M. Li, C. Maher, K. Lee, T. Horn, K. Newhall, R. Hurley, K. Daniels, C. Rock (2025) A Methodology for Manufacturing 3D Disordered Metamaterials Using Laser Powder Bed Fusion from Granular Packings and Hyperuniform Point Clouds, engrXiv:5865
  5. K. Daniels, C. Maher, K. Newhall, M. Porter, C. Rock (2025) Comparing dragonfly wings to jars of marbles through the lens of hyperuniformity, ArXiv — in press at Frontiers for Young Minds
  6. C. Wang, C. Maher, K. Newhall (2026) Effect of Local Topological Changes on Resistance in Tunably-Disordered Networks, Phys. Rev. E 114, 024305 ArXiv
  7. C. Obrero, M. Tirfe, C. Lee, S. Saptarshi, C. Rock, K. Daniels, K. Newhall (2025) Electrical Transport in Tunably-Disordered Metamaterials, Phys. Rev. E 112 (3), 035505 ArXiv
  8. C. Maher and K. Newhall (2025) Characterizing the Hyperuniformity of Disordered Network Metamaterials, Phys. Rev. E 111, 065420, ArXiv
  9. A. Coletti, B. Walker, K. Bloom, K. Newhall (2025) Different relative scalings between transient forces and thermal fluctuations tune regimes of dynamic clustering, Phys. Rev. E 111, 044407 ArXiv
  10. K. Newhall (2025) Sampling the large-dimensional energy landscape of a 2D granular system with the Hydra string method, Soft Matter, DOI: 10.1039/d4sm01337a
  11. E. Weimer and K. Newhall (2025) Machine learning enhanced immunologic risk assessments for solid organ transplantation, Nature Scientific Reports, 15:7943
  12. K. Daftari and K. Newhall (2025) Memory signatures in path curvature of self-avoidant model particles are revealed by time delayed self mutual information, PLoS Complex Systems, 2(3):e0000036 ArXiv
  13. K. Newhall (2024) A Primer on Stochastic Partial Differential Equations with Spatially Correlated Noise, Annual Review of Condensed Matter Physics, 16
  14. P. Vasquez, B. Walker, K. Bloom, D. Kolbin, N. Caughman, R. Freeman, M.Lysy, C. Hult, K. Newhall, M. Papanikolas, C. Edelmaier, M.G. Forest (2023) The power of weak, transient interactions across biology: A paradigm of emergent behavior, Physica D, 454(15), 133866
  15. B. Walker and K. Newhall (2022) Numerical computation of effective thermal equilibrium in Stochastically Switching Langevin Systems, Phys. Rev. E 105, 064113 ArXiv
  16. K. Daftari and K. Newhall (2022) Self-avoidant memory effects on enhanced diffusion in a stochastic model of environmentally responsive swimming droplets, Phys. Rev. E, Vol 105, 024609 ArXiv
  17. C. Moakler and K. Newhall (2022) The Hydra String Method: A Novel Means to Explore Potential Energy Surfaces and its Application to Granular Materials, Granular Matter, 24 ArXiv
  18. [pdf] P. Pyzza, K. Newhall, D. Zhou, G. Kovačič, D. Cai (2021) Network Mechanism for Insect Olfaction, Cognitive Neurodynamics, Vol. 15, pp.~103-129 ArXiv
  19. Y. Gao, J. Marzuola, J. Mattingly, K. Newhall (2020) Non-local SPDE limits of spatially-correlated-noise driven spin systems derived to sample a canonical distribution, Phys. Rev. E, Vol. 102, No. 5, 052112 ArXiv
  20. Y. Gao, K. Kirkpatrick, J. Marzuola, J. Mattingly, K. Newhall (2021, accepted 2020) Limiting Behaviors of High Dimensional Stochastic Spin Ensembles, Comm. Math. Sci., Vol. 19, No. 2, pp. 453 – 494 ArXiv
  21. [pdf] J. Crodelle, K. Newhall, P. Pyzza, G. Kovačič (2019) Coarse-grained descriptions of oscillations in neuronal network models, Comm. Math. Sci., Vol. 17, No. 5, pp. 1437 – 1458
  22. E. Weimer and K. Newhall (2019) Development of data-driven models for the flow cytometric crossmatch, Human Immunology, Vol. 80, No. 12, pp. 983-989
  23. [pdf] B. Walker and K. Newhall (2018) Inferring Information Flow in Spike-train Data Sets using a Trial-Shuffle Method, PLoS ONE, 13(11): e0206977
  24. [pdf] K. Newhall, G. Kovačič, I. Gabitov (2020, accepted 2018) Polarization dynamics in a resonant optical medium with initial coherence between degenerate states, Discrete Contin. Dyn. Syst. Ser. S, Vol. 13, No. 8, pp. 2285-2301
  25. [pdf] K. Newhall and E. Vanden-Eijnden (2017) Metastability of the Nonlinear Wave Equation: Insights from Transition State Theory, J. Nonlinear Sci.Vol. 27, No. 3, 1007-1042
  26. M. Erdogan, J. Marzuola, K. Newhall and N. Tzirakis (2015) The Structure of Global Attractors for Dissipative Zakharov System with Forcing on the Torus, SIAM J. Appl. Dyn. Syst., Vol. 14, No. 4, pp. 1978-1990
  27. [pdf] K. Newhall, M. Shkarayev, P. Kramer, G. Kovačič, and D. Cai (2015) Synchrony in stochastically driven neuronal networks with complex topologies, Phys. Rev. E, Vol. 91, No. 5, 052806
  28. [pdf] K. Newhall, E. Vanden-Eijnden (2013) Averaged equation for energy diffusion on a graph reveals bifurcation diagram and thermally assisted reversal times in spin-torque driven nanomagnets, J. Appl. Phys., Vol. 113, No. 18, 184105
  29. [pdf] J. Zhang, K. Newhall, D. Zhou, A. Rangan (2013) Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks, J. Comput. Neurosci., published online
  30. [pdf] K. Newhall, E. Atkins, P. Kramer, G. Kovacic, I. Gabitov (2013) Random polarization dynamics in a resonant optical medium, Optics Letters, Vol. 38, No. 6, pp. 893-895
  31. [pdf] K. Newhall, L. Pontani, I. Jorjadze, S. Hilgenfeldt, J. Brujic (2012) Size-topology relations in packings of grains, emulsions, foams and biological cells, PRL, 108, 268001
  32. [pdf] K. Newhall, I. Jorjadze, E. Vanden-Eijnden, and J. Brujic (2011) A statistical mechanics framework captures the packing of monodisperse particles, Soft Matter, 7, 11518-11525
  33. I. Jorjadze, L. Pontani, K. Newhall and J. Brujic (2011) Attractive emulsion droplets probe the phase diagram of jammed granular matter, PNAS, doi:10.1073
  34. [pdf] K. Newhall, G. Kovacic, P. Kramer, A. Rangan, and D. Cai (2010) Cascade-Induced Synchrony in Stochastically-Driven Neuronal Networks, Phys. Rev. E., 82, 041903.
  35. [pdf] K. Newhall, G. Kovacic, P. Kramer, D. Zhou, A. Rangan, and D. Cai (2010) Dynamics of Current-Based, Poisson Driven, Integrate-and-Fire Neuronal Networks, Comm. in Math. Sci., Vol. 8, No. 2, pp. 541-600.
  36. [pdf] K. Newhall, B. Brzek, R. B. Cal,  G. Johansson, and  L. Castillo (2006) Skin Friction and the Inner Flow in Pressure Gradient Turbulent Boundary Layers, 36th AIAA Fluid Dynamics Conference and Exhibit, AIAA-2006-2887, June 5-8 San Francisco, CA.
  37. B. Brzek, R. B. Cal, K. Newhall, G. Johansson, and L. Castillo (2006) LDA Measurements in Rough Surface ZPG Turbulent Boundary Layers, Proceedings of 2006 ASME Joint US-European Fluids Engineering Summer Meeting, FEDSM2006-98508, July 17-20 Miami, FL.
  38. K. Newhall, R. B. Cal, B. Brzek, G. Johansson, L. Castillo (2006) Smooth and Rough Turbulent Boundary Layers: A look at Skin Friction, Pressure Gradient and Roughness, Proceedings of 2006 ASME Joint US-European Fluids Engineering Summer Meeting, FEDSM2006-98517, July 17-20 Miami, FL.
  39. X. Wang, K. Newhall, and L. Castillo (2005) Velocity Profile for Pressure Gradient Turbulent Boundary layer, 4th AIAA Theoretical Fluid Mechanics Conference, Toronto, Canada.
  40. [pdf] K. Newhall and D. Durian (2003) Projectile-shape Dependence of Impact Craters in Loose Granular Material, Phys. Rev. E, 68(6).