Superconducting junctions as detectors of Dirac fermions and Majorana modes.
Abstract
In this talk I would discuss how superconducting junctions can be used asphase sensitive detectors for Dirac and Majorana fermions. With a briefintroduction to the physics of Dirac like materials, i.e materials whoselow energy excitations obey an effective Dirac equation viz. graphene, Iwould discuss the transport and dynamics in superconducting junctions ofsuch materials. In the second part of the talk, I would discuss dynamicsin a superconducting junction with effective p-wave pairing amplitude andshow that analysis of the current-voltage characteristics reveals robustphase-sensitive signatures for existence of Majorana quasi-particles insuch junctions.
Thermoelectric studies in topological system due to superconductivity and spin-density wave
Abstract
In this talk, I will discuss the thermoelectric transport in twodimensional topological system which has coexistence ofsuperconductivity(SC) and spin-density wave(SDW). The SC is presumed to beof dx2−y2 + (px + ipy ) type whereas the SDW order parameter is ofBCS symmetry. The Hamiltonian describing such a coexistence phase will beshown to have topological phase in addition to the conventional one. Thetransport properties in such topological system have two distinctcontributions: (i) the surface/edge and (ii) the bulk. The competitionbetween the surface/edge versus the bulk transport is analyzed indifferent parameter regimes and the possibility of enhancing the figure of merit will be discussed.
06/01/2016 at 10:00 am
Prof. Rajaram Nityananda, Azim Premji University, Bengalur
Generalised by Clausius to all thermodynamic systems. After beinggiven a statistical basis by Boltzmann, entropy reappeared as ameasure ofinformation in Shannons mathematical theory of communication which lies atthe basis of much of todays technology. The two apparently distinct kindsof entropy / information turn out to be connected by Maxwells demon and itsdescendants. This talk will go over these themes and their relation toBayesian statistical inference.