illuminated Helium laboratory from outside through the window

Conferences & Workshops

Sept.-15-20, 2019 

ECASIA19: 18th European Conference on Applications of Surface and Interface Analysis

Oct. 1 – 2, 2018


SAW Symposium, Westin Bellevue Dresden, Dresden, Germany

Aug. 28-30, 2018 Spin , waves & interactions 2018, Greifswald, Germany

April 8- 11, 2018


667. WE-Heraeus-Seminar on System-oriented approach to thermoelectrics: Materials – Interfaces – Devices in Bad Honnef, Germany

March 11-16, 2018


Joint Conference of the Condensed Matter Divisions of the DPG and EPS,

  • Session "Geometry and Topology-Controlled Nanoarchitectures", organized by Prof. Dr. V. Fomin, IFW Dresden
  • Symposium “Topology in Condensed Matter Physics (SYTO)”, co-organizer Prof. Dr. Jeroen van den Brink, IFW Dresden
  • Symposium “Voltage Control of Functional Interfaces: Magneto-ionic Meet Memristive Systems (SYVC)”, Co-organizer Dr. Karin Leistner, IFW Dresden

Feb. 1, 2018


Workshop of the DFG Priority Programme 1458 “High Temperature Superconductivity in Iron Pnictides“, IFW Dresden

Jan.  29-31, 2018


EPSQMat 2018: International Workshop on Electron and photon spectroscopies of quantum materials: status and perspectives, IFW Dresden

Lectures this week

Lectures next week

Monday 19.11.2018
Location IFW Dresden D2E.27
Speaker Miroslav Pozek
Topic Universal superconducting gap inhomogeneity in cuprates revealed by nonlinear response
After almost three decades of extraordinary scientific efforts, the cuprate high-temperature superconductors continue to pose challenging queries. One of the important open questions is the nature of superconducting pre-pairing above the macroscopic transition temperature Tc. A pivotal step toward understanding pre-paring regime would be to figure out how superconductivity emerges from the unusual normal state. Hitherto existing investigations of superconducting traces above Tc has led to controversial conclusions. The main difficulty has been to separate superconducting contributions from complex normal-state behavior. Here we employ an unconventional probe – nonlinear conductivity [1] – which is zero in the normal state, to avoid this problem. We find for several representative cuprates that the nonlinear conductivity vanishes exponentially above Tc and exhibits temperature-scaling characterized by a universal scale Eo, irrespective of hole doping and cuprate family [2]. Similar behavior is observed in nonlinear torque magnetization measurements [3] and in linear conductivity experiments [4].
Standard Ginzburg-Landau theory failed to fit the observed results. Instead, to explain the data we have successfully employed a simple percolative model based on inhomogeneity of superconducting gaps. We thus show that the superconducting precursor in the cuprates is strongly affected by intrinsic, universal nanoscale inhomogeneity.

[1] M. Doslic, D. Pelc,& M. Pozek, Rev. Sci. Instrum. 85,073905 (2014)
[2] D. Pelc et al., Nature Commun. 9, 4327 (2018)
[3] G. Yu et al., arXiv: 1710.10957 (2017)
[4] P. Popcevic et al., npj Quantum Materials 3, 42 (2018)

Invited by Prof. Dr. Bernd Büchner, Dr. Hans-Joachim Grafe
Contact Christine Malbrich

Tuesday 20.11.2018
IFW Kolloquium 16:40
Location TU Dresden, Haeckelstr. 3 Hörsaal REC/C213, Recknagel-Bau
Speaker Alessandro Troisi
Topic Designing organic semiconductors via model reduction
We present a common strategy to design organic semiconducting materials based on the construction of reduced (predictive) models from (detailed) atomistic one. We will argue that, somewhat counterintuitively, by removing chemical detail from the model one can more easily perform non-trivial predictions. The topics considered in this lecture include (i) the definition of a map of all organic semiconductors for charge transport; (ii) the desirable properties of electron acceptors in organic solar cells; (iii) derivation of possible design rules for semiconducting polymers; (iv) uses and limitations of machine learning approaches for the same problems.

Invited by Prof. Dr. Bernd Büchner

Dresden Science Calendar

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