Scientific and public talks

2022

D. Konar, Hybrid Classical-Quantum Machine Learning Algorithms for Large Scale Applications, 11th IEEE International Conference on CSNT, 23-24.04.2022
K. Ramakrishna, J. Vorberger, A. D. Baczewski, M. Lokamani, A. Cangi, Electrical Conductivity of Iron under Earth-Core Conditions from Time-Dependent Density Functional Theory, APS March Meeting 2022, 14.03.2022
S. Nikolov, J. Tranchida, A. Cangi, K. Ramakrishna, M. A. Wood, Probing Structural and Magnetic Phase Changes in the Shock Response of Iron with Molecular Dynamics, APS March Meeting 2022, 15.03.2022
T. J. Callow, N. E. Rahat, E. Kraisler, A. Cangi, Comparisons of density-functional average-atom models and measures of the mean ionization state, APS March Meeting 2022, 15.03.2022
L. Fiedler, G. A. Popoola, N. A. Modine, A. P. Thompson, A. Cangi, Size transferability of machine-learning based density functional theory surrogates, APS March Meeting 2022, 15.03.2022
K. Shah, A. Cangi, Accelerating Time-Dependent Density Functional Theory with Physics-Informed Neural Networks, APS March Meeting 2022, 16.03.2022
T. Hentschel, A. Kononov, A. D. Baczewski, A. Cangi, S. B. Hansen, Effects of electron-ion collisions on stopping powers in warm dense matter, APS March Meeting 2022, 16.03.2022

2021

A. Cangi, Data-driven and physics-informed modeling of matter under extreme conditions, CFEL-DESY, 15.12.2021
A. Mertel, J. Calabrese, Modeling the effect of the national borders in the spread of COVID-19: A case study of the Saxony-Czechia border region, International Symposium on Geospatial Approaches to Combating Covid-19, 13.12.2021
A. Mertel, Geographical data analysis in the historical research, LINDAT CLARIAH-CZ Talk, 12.11.2021
F. Poeschel, A. Huebl, Towards loosely-coupled scientific I/O pipelines with openPMD-api and ADIOS2, SMC2021, 22.07.2021
T. Callow, Density-functional average-atom model for first-principles simulations of warm dense matter, AMCP-Seminar, Universität Rostock, 01.06.2021
D. Zbíral, A. Mertel, R. Shaw, T. Hampejs, An ontology for modelling the social, spatial, and semantic relations in pre-modern written sources: Takeaways from data model development in the Dissident Networks Project (DISSINET), Data for History. Modelling Time, Places, Agents, 19.05.-30.06.2021
K. Ramakrishna, J. Vorberger, A. Cangi, Electrical conductivity of materials under extreme conditions using TDDFT, APS March Meeting 2021, 19.03.2021
T. J. Callow, E. Kraisler, S. B. Hansen, E. K. Gross, A. Cangi, First-principles derivation of an average-atom model from the many-body Hamiltonian of coupled electrons and ions, APS March Meeting 2021, 19.03.2021
T. Dornheim, A. Cangi, K. Ramakrishna, M. Boehme, J. Vorberger, Effective Static Approximation: A fast and reliable tool for Warm Dense Matter Theory, APS March Meeting 2021, 19.03.2021
A. Kononov, T. Hentschel, A. Cangi, A. D. Baczewski, S. B. Hansen, Comparison of DFT-based methods for electronic stopping in warm dense aluminum, APS March Meeting 2021, 17.03.2021
A. Cangi, J. A. Ellis, N. A. Modine, J. Adam Stephens, A. P. Thompson, S. Rajamanickam, Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks, APS March Meeting 2021, 15.03.2021

2020

M. Bussmann, From Data to Understanding – The Center for Advanced Systems Understanding, Faculty of Physics and Astronomy, University of Wrocław, 13.11.2020
M. Bussmann, Streaming Data – The Transformation of HPC Systems into Discovery Machines, DRBSD Workshop at Supercomputing Conference 2020, 12.11.2020
A. Gupta, P. Incardona, A. Aydin, S. Gumhold, U. Günther, I. Sbalzarini, An Architecture for Interactive In Situ Visualization and Its Transparent Implementation in OpenFPM, ISAV workshop at Supercomputing Conference 2020, 12.11.2020
M. Bussmann, Casus: Stand und Ausblick, IT Meeting, Görlitz, 12.10.2020
J. Calabrese & K. Frank, Network effects on communities and functions. iDiv Annual Conference 2020, 08.10.2020
J. Calabrese, Efficient coronavirus testing using statistical methods and AI, Artificial Intelligence for a better living: medicine, science, business, 30.09.2020
M. Bussmann, Welcome to the Exascale Jungle: Performance Portable Manycore Programming for next generation HPC, Meeting of the NUG Society at ICM University of Warsaw, 25.09.2020
M. Bussmann, Introduction to CASUS, Jahrestreffen der CMS Deutschland, 23.09.2020
J. Stephan, Lessons Learned Developing Frameworks with SYCL, SYCL Summer Sessions, 03.09.2020
M. Bussmann, Supercomputers as Discovery Machines – Why HPC Must Rethink its Toolbox, 24th HPC Connection Workshop Digital on AI & Exascale Ready Technologies and Applications, 22.06.2020
M. Bussmann, Big Lasers for Small Accelerators: Exascale Simulations for Better Cancer Therapy, GPU Technology Conference 2020
M. Bussmann, Plasma Physics with PIConGPU – Lessons learned from 10 years of living with the HPC hardware zoo, Modular Supercomputing Architectures Online Seminar, Jülich Supercomputing Centre, 19.05.2020
M. Bussmann, The discovery machines – how supercomputers will shape the future of data-driven science, Virtual ICM Seminar in Computer and Computational Science, ICM University of Warsaw, April 2020
M. Bussmann et al., Taming the Complexity of Laser-Plasma Accelerators, Invited Talk PHEDM – Hirschegg Workshop 2020

2019

M. Bussmann, Invited Talk Semestereröffnung IHI Zittau 2019
U. Günther et al., Das beste aus beiden Welten, bei: CAPTCHA! Maschinen lernen Handeln von Menschen, die nicht verstehen, was sie wissen, Schwarzmarkt für nützliches Wissen und Nicht-Wissen Nr. 23, Deutsches Hygiene-Museum Dresden, 06.12.2019
T. Dornheim et al., Seminar Talk National University of Defense Technology, Changsha, China
T. Dornheim et al., Invited Talk Division of Plasma Physics meeting of the AAPPS, Hefei, China, November 2019
M. Bussmann et al., Warum kompliziert wenn es auch komplex geht? Wie digitale Systemforschung aus Daten Wissen macht, Invited Talk Senckenberg Museum für Naturkunde Görlitz, 19.11.2019
S. Chandrasekaran et al., Running PIConGPU on Summit, CAAR: Preparing PIConGPU for Frontier @ ORNL, Supercomputing 19, Denver, Colorado
M. Bussmann et al., Data Management & Analysis: The challenge of complexity and how to attack it, Invited Talk 1st Annual Meeting of the Photon and Neutron Open Science Cloud, Trieste, 05.11.2019
U. Günther et al., Virtual Reality for Bioimage Informatics, Chan-Zuckerberg Biohub, San Francisco, 01.11.2019
U. Günther et al., Scenery: Flexible Virtual Reality Visualisation on the Java VM, IEEE VIS 2019, Vancouver, 24.10.2019
T. Dornheim et al., Vortrag 9th Joint Workshop on High Pressure, Planetary and Plasma Physics (HP4), Dresden, Germany, Oktober 2019
M. Bussmann et al., Data-intensive methods for complex systems analysis, Invited Talk S3 Seminar, WUST, Wroclaw, 17.10.2019
M. Bussmann et al., Data intensive Systems Science, Invited Talk Hugo Steinhaus Seminar, WUST, Wroclaw, 16.10.2019
M. Bussmann et al., Write once, run everywhere: ALPAKA for single-source many-core programming in C++, Invited Talk CMS week, CERN, 25.09.2019
M. Bussmann et al., Interactive, data-intensive HPC, Eingeladener Vortrag CERN EP-IT Data Science Seminar, 25.09.2019
U. Günther et al., Fortbildung Virtual & Augmented Reality für Gymnasiallehrer, CSBD Dresden, 30.08.2019
M. Bussmann, Öffentlicher Abendvortrag Senckenberg Museum für Naturkunde Görlitz, 27.08.2019
T. Dornheim et al., Vortrag 10th International Workshop on Warm-Dense-Matter 2019, Travemünde, Germany, Mai 2019
T. Dornheim et al., Vortrag International Conference on High Energy Density (ICHED), Oxford, United Kingdom, April 2019