COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Quantum Fields and Strings Seminars > Holography of Einstein-Maxwell-Dilaton theories and applications to Condensed Matter Systems
Holography of Einstein-Maxwell-Dilaton theories and applications to Condensed Matter SystemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sungjay Lee. Recently, holographic techniques have been applied to Condensed Matter Systems (CMS) with strongly-coupled electrons. Einstein-Maxwell-Dilaton (EMD) theories provide an interesting setup for such endeavours, as they allow non-trivial, non-conformal Infra-Red fixed points, which are postulated to be Quantum Critical (QC) points describing the physics near extremality. First, we shall describe the black hole solutions of EMD theories and review earlier results on their transport coefficients. Then, we shall address the issue of how to set holography up for these theories, using ‘generalised’ dimensional reduction. Finally, we shall apply this to the previously mentionned QC points. This talk is part of the Quantum Fields and Strings Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsLennard-Jones Centre Seminars on Quantitative Biology @ CRUK Cambridge Institute Cambridge UCUOther talksPart IIB Poster Presentations Enhanced Decision Making in Drug Discovery Why does cardiac function deteriorate in heart failure and how does phosphodiesterase 5 inhibition help? Propagation of Very Low Frequency Emissions from Lightning UK 7T travelling-head study: pilot results Symplectic topology of K3 surfaces via mirror symmetry Glucagon like peptide-1 receptor - a possible role for beta cell physiology in susceptibility to autoimmune diabetes Graded linearisations for linear algebraic group actions 70th Anniversary Celebration Cambridge Rare Disease Summit 2017 A domain-decomposition-based model reduction method for convection-diffusion equations with random coefficients |