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Intrinsically Disordered Proteins and Non-equilibrium Processes

FOCUS · N14 · ID: 1067850

Presentations

  • Universality vs. Specificity in Synaptic Transmission

    ORAL · Invited

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    Publication: Wang B. and Dudko O.K. A theory of synaptic transmission. eLife 2021;10:e73585 (2021)<br>

    Presenters

    • Olga Dudko

      University of California, San Diego

    Authors

    • Olga Dudko

      University of California, San Diego

    • Bin Wang

      University of California, San Diego

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  • Dynamics of water around intrinsically disordered proteins

    ORAL · Invited

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    Publication: K. M. Reid, A. K. Singh, C. R. Bikash, J. Wei, Y. Tal-Gan, N. Q. Vinh, D. M. Leitner, Biophys. J. 121, 540 - 551 (2022)

    Presenters

    • David M Leitner

      University of Nevada, Reno

    Authors

    • David M Leitner

      University of Nevada, Reno

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  • Emergent thermophoretic behavior in non-equilibrium chemical systems

    ORAL

    –

    Publication: https://doi.org/10.48550/arXiv.2102.03197

    Presenters

    • Daniel Maria Busiello

      Max Planck Institute for the Physics of Complex Systems

    Authors

    • Daniel Maria Busiello

      Max Planck Institute for the Physics of Complex Systems

    • Shiling Liang

      École polytechnique fédérale de Lausanne, Ecole Polytechnique Federale de Lausanne

    • Paolo De Los Rios

      Ecole Polytechnique Federale de Lausanne

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  • Searching for colored noise in enhanced diffusion

    ORAL

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    Presenters

    • Jin Tae Park

      Institute for Basic Science

    Authors

    • Jin Tae Park

      Institute for Basic Science

    • Tian Huang

      Institute for Basic Sciences, Institute for Basic Science

    • Steve Granick

      Institute for Basic Science

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  • Heterogeneous Particle Dynamics Driving Macroscopic Degradation in Porous Electrodes

    ORAL

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    Publication: Heterogeneous Particle Dynamics Driving Macroscopic Degradation in Porous Electrodes. Debbie Zhuang, Martin Z. Bazant

    Presenters

    • Debbie Zhuang

      Massachusetts Institute of Technology

    Authors

    • Debbie Zhuang

      Massachusetts Institute of Technology

    • Martin Z Bazant

      Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

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  • Neuron Operations Compatible with the Physics of a Super-Turing Computational Model

    ORAL

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    Publication: Redd, Emmett, Steven Senger, and Tayo Obafemi-Ajayi. "Noise optimizes super-Turing computation in recurrent neural networks." Physical Review Research 3, no. 1 (2021): 013120.<br>Redd, Emmett, and Tayo Obafemi-Ajayi. "Noise Quality and Super-Turing Computation in Recurrent Neural Networks." In International Conference on Artificial Neural Networks, pp. 469-478. Springer, Cham, 2021.

    Presenters

    • Emmett R Redd

      Missouri State University

    Authors

    • Emmett R Redd

      Missouri State University

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  • Connecting structure of individual networks to dynamics in oscillator systems

    ORAL

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    Publication: Muller, L., Minác, J., & Nguyen, T. T. (2021). Algebraic approach to the Kuramoto model. Physical Review E, 104(2), L022201.<br><br>Budzinski, R. C., Nguyen, T. T., Ðoàn, J., Minác, J., Sejnowski, T. J., & Muller, L. E. (2022). Geometry unites synchrony, chimeras, and waves in nonlinear oscillator networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(3), 031104.<br><br>Budzinski, R. C., Nguyen, T. T., Benigno, G. B., Doàn, J., Minác, J., Sejnowski, T. J., & Muller, L. E. (2022). Analytical prediction of specific spatiotemporal patterns in nonlinear oscillator networks with distance-dependent time delays. arXiv preprint arXiv:2207.13785.

    Presenters

    • Lyle E Muller

      Western University

    Authors

    • Lyle E Muller

      Western University

    • Roberto Budzinski

      Western University

    • Alexandra Busch

      Western University

    • Gabriel Benigno

      Western University

    • Ján Minác

      Western University

    View abstract →