Bulletin of the American Physical Society
2017 Annual Spring Meeting of the APS Ohio-Region Section
Volume 62, Number 6
Friday–Saturday, May 5–6, 2017; Ypsilanti, Michigan
Session G1: Invited: Computational Physics II |
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Chair: Ernest Behringer, Eastern Michigan University Room: Pray-Harrold 201 |
Saturday, May 6, 2017 10:15AM - 11:00AM |
G1.00001: Universal slip statistics: from nanocrystals to earthquakes? Invited Speaker: Karin Dahmen A simple mean field model [1] predicts the statistics and dynamics of slips in a broad range of slowly sheared solid materials. In this talk we review the predictions of the model and compare the results to experiments and observations spanning 12 decades in length scale and a wide range of material structures, including slowly compressed nanocrystals, bulk metallic glasses, rocks, slowly sheared granular materials, and earthquakes [2]. Connections to other systems with avalanches, such as neuron avalanches in the brain [3] and stars [4] are also discussed. The study uses tools from the theory of phase transitions, such as the renormalization group. \textbf{References}: [1] K. A. Dahmen, Y. Ben-Zion and J. T. Uhl. Phys. Rev. Lett., 102, 175501 (2009). [2] J. T. Uhl, S. Pathak, D. Schorlemmer, X. Liu, R. Swindeman, B. A.W. Brinkman,, M.LeBlanc, G. Tsekenis, N. Friedman, R. Behringer, D. Denisov, P. Schall, X. Gu, W. J. Wright, T. Hufnagel, A. Jennings, J. R. Greer, P.K. Liaw, T. Becker, G. Dresen, and K. A. Dahmen, Scientific Reports 5, 16493 (2015), and references therein. [3] N. Friedman, S. Ito, B.A.W. Brinkman, L. DeVille, K. Dahmen, J. Beggs, and T. Butler, Phys. Rev. Lett. 108, 208102 (2012). [4] M. A. Sheikh, R. L. Weaver, and K. A. Dahmen, Phys. Rev. Lett. 117, 261101 (2016). [Preview Abstract] |
Saturday, May 6, 2017 11:00AM - 11:45AM |
G1.00002: Integrating Computational Activities into Undergraduate Physics Courses Invited Speaker: Kelly Roos Integrating computation into undergraduate physics courses, in such a way that the computational approach is emphasized as strongly as non-computational mathematics, adds educational value to the physics curriculum through providing deeper conceptual understanding of physical principles, and enhancing problem-solving skills. In this presentation, I shall provide a few examples of how computational activities can enhance the coverage of topics in undergraduate physics courses, and describe the educational materials development efforts of an informal organization, the Partnership for Integration of Computation into Undergraduate Physics (PICUP), that is committed to building a community of faculty dedicated to integrating computation into the undergraduate physics curriculum. [Preview Abstract] |
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