\n
Prof. Dr.-Ing. Birgit Skrotzki<\/span>\n \n D03.01: Interoperability\n <\/div>\n\n <\/td>\n \n \n \n Digital Transformation in Materials Science: Insights from Platform MaterialDigital<\/div>\n Bayerlein, B. (Speaker)\u00b9; Schilling, M.\u00b9; Waitelonis, J.\u00b2; von Hartrott, P.\u00b3; Hanke, T.\u00b3; Birkholz, H.\u2074; Lau, J.\u2075; Skrotzki, B.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 11:10<\/td>\n \n \n \n \n | \n The Dataspace Management System (DSMS): An end-user application for FAIR data handling and data enrichment in material science<\/div>\n B\u00fcschelberger, M. (Speaker)\u00b9; Nahshon, Y.\u00b9; Morand, L.\u00b9; Wessel, A.\u00b9; Helm, D.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 11:30<\/td>\n \n \n \n \n | \n Model driven data space exploration: Interoperable infrastructure for experimental and computational data<\/div>\n Kerzel, U. (Speaker)\u00b9; Hickel, T.\u00b2; Hunke, S.\u00b3; Korte-Kerzel, S.\u2074; Kruzikova, P.\u00b2; Mathews, P.\u2075; Mouhib, F.-Z.\u2074; Ost, P.\u2076; Siemer, N.\u2075<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 11:50<\/td>\n \n \n \n \n | \n Leveraging Knowledge Graphs for Extraction and Linkage of Information from Unstructured Data<\/div>\n Baghaee Ravari, S. (Speaker)\u00b9; Hickle, T.\u00b2; Stricker, M.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 12:10<\/td>\n \n \n \n \n | \n Interoperability of experimental and computational workflows: microscopies, spectroscopies, and autonomous battery cycling<\/div>\n Bainglass, E. (Speaker)\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 12:30<\/td>\n \n \n \n \n | \n ICME Simulation Workflow for Wire based Additive Manufacturing<\/div>\n Apel, M. (Speaker)\u00b9; Koschmieder, L.\u00b9; Pirch, N.\u00b2; Stryzhyboroda, O.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 12:50<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 14:10<\/td>\n \n \n | \n \n Dr. rer. nat. Tilmann Hickel<\/span>\n \n D03.02: Workflows\n <\/div>\n\n <\/td>\n \n \n \n Keynote Lecture<\/span>\n <\/div>\n Advancing Workflow Composition: A Semantic Approach<\/div>\n Lamprecht, A.-L. (Speaker)\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 14:50<\/td>\n \n \n \n \n | \n Interoperable representations of characterisation workflows<\/div>\n Goldbeck, G. (Speaker)\u00b9; Del Nostro, P.\u00b9; Toti, D.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 15:10<\/td>\n \n \n \n \n | \n Navigating atomistic simulations data space with workflows and knowledge graphs<\/div>\n Menon, S. (Speaker)\u00b9; Az\u00f3car Guzm\u00e1n, A.\u00b2; Hofmann, V.\u00b2; Sandfeld, S.\u00b2; Hi\u00adckel, T.\u00b3; Neugebauer, J.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 15:30<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 16:00<\/td>\n \n \n | \n \n Dr. Gerhard Goldbeck<\/span>\n \n D03.03: Workflows\n <\/div>\n\n <\/td>\n \n \n \n Generating a FAIR crystal-structure database with the AiiDA informatics infrastructure<\/div>\n Bercx, M. (Speaker)\u00b9; Huber, S.\u00b2; Eimre, K.\u00b3; Nascimento, G.\u00b3; H\u00f6rmann, N.\u2074; Pizzi, G.\u00b9; Marzari, N.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 16:20<\/td>\n \n \n \n \n | \n Accelerating Magnetocaloric Materials Discovery through Automated Research Workflows<\/div>\n Bekemeier, S. (Speaker)\u00b9; Nickel, S.\u00b2; Yaman, O.-C.\u00b2; Chirkova, A.\u00b2; Hilbig, T.\u00b2; Taake, C.\u00b3; Caron, L.\u00b3; Schr\u00f6der, C.\u00b2<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 16:40<\/td>\n \n \n \n \n | \n Implementation of the electronic laboratory notebook PASTA-ELN for streamlining data-driven experimental materials science<\/div>\n Brinckmann, S. (Speaker)\u00b9; Tsybenko, H.\u00b9; Schwaiger, R.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 17:00<\/td>\n \n \n \n \n | \n Interoperable workflows combining software tools along the process chain of materials<\/div>\n Hickel, T. (Speaker)\u00b9; Aslam, A.\u00b2; Bai, Y.\u00b2; Janssen, J.\u00b2; Menon, S.\u00b2; Neugebauer, J.\u00b2; Roters, F.\u00b2; Saikia, U.\u00b2; Waseda, O.\u00b2<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 17:20<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 17:40<\/td>\n \n \n | \n \n Prof. Dr. Pedro Dolabella Portella<\/span>\n \n D03.04: Interoperability\n <\/div>\n\n <\/td>\n \n \n \n Encompassing materials modelling for industry 4.0<\/div>\n Roscioni, O.M. (Speaker)\u00b9; Calzolari, A.\u00b2; Goldbeck, G.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 18:00<\/td>\n \n \n \n \n | \n Managing Research Data with NOMAD Oasis: Examples for Materials Characterization and Microstructure Evolution Modelling<\/div>\n K\u00fchbach, M. (Speaker)\u00b9; Brockhauser, S.\u00b9; Dobener, F.\u00b2; Draxl, C.\u00b9; Fekete, A.\u00b9; Himanen, L.\u00b9; Koch, C.\u00b9; Mozumder, R.\u00b9; M\u00e1rquez Prieto, J.\u00b9; Pielsticker, L.\u00b3; Rudzinski, J.\u00b9; Scheidgen, M.\u00b9; Shabih, S.\u00b9; Weber, H.\u2074<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 18:20<\/td>\n \n \n \n \n | \n Creating Comparable Data Structures for Diverse Research Fields \u2013 An Ontology-based Approach from Li-Ion Battery Research<\/div>\n Nebel, V. (Speaker)\u00b9; Mutz, M.\u00b9; Beran, L.\u00b2; Kraus, T.\u00b3<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 18:40<\/td>\n \n \n \n \n | \n CorWiz: Facilitating Digital Transformation in Corrosion Research<\/div>\n Berger, S. (Speaker)\u00b9; Ravikumar, A.\u00b9; Zheludkevich, M.\u00b9; Hoeche, D.\u00b9<\/div>\n <\/td>\n <\/tr>\n \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n <\/td>\n \n \n \n \n <\/tr>\n | \n 19:00<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n\n <\/div>\n 25 Sep 2024<\/h2>\n \n \n \n <\/th>\n | \n \n S1I03 - 23\n <\/div>\n\n\n <\/th>\n \n \n S1I03 - 121\n <\/div>\n\n\n <\/th>\n <\/tr>\n\n <\/thead>\n \n \n 10:50<\/td>\n \n \n | \n \n Prof. Dr. Pedro Dolabella Portella<\/span>\n \n D03.05: Ontologies; Experimental aspects\n <\/div>\n\n <\/td>\n \n \n \n Evolution of the PMD Core Ontology (PMDco) Towards ISO\/IEC 21838-2:2021 - Basic Formal Ontology (BFO)<\/div>\n Birkholz, H. (Speaker)\u00b9; Bayerlein, B.\u00b2; Schilling, M.\u00b2; Hanke, T.\u00b3; von Hartrott, P.\u00b3; Jung, M.\u00b3; Hubaiev, K.\u2074; Waitelonis, J.\u2074; Sack, H.\u2074; M\u00e4dler, L.\u2075<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 11:10<\/td>\n \n \n \n \n | \n Semantically-Rich Thermodynamic Alloy Ontology<\/div>\n Hubaiev, K. (Speaker)\u00b9; Sack, H.\u00b9; Waltenois, J.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 11:30<\/td>\n \n \n \n \n | \n Material and Process Data Integration: Enhancing Hybrid Material Design through Ontology-Based Data Management<\/div>\n Bjarsch, T. (Speaker)\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 11:50<\/td>\n \n \n \n \n | \n Digitalization of a high-throughput alloy development process<\/div>\n Eisenbart, M. (Speaker)\u00b9; Bauer, F.\u00b9; Klotz, U.\u00b9; Weber, M.\u00b2; Hanke, T.\u00b2; Dziwis, G.\u00b3; Beygi-Nasrabadi, H.\u2074; Tikana, L.\u2075<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 12:10<\/td>\n \n \n \n \n | \n Integration of Linked Open Data in Materials Science and Engineering (MSE)<\/div>\n Norouzi, E. (Speaker)\u00b9; Waitelonis, J.\u00b9; Azocar Guzman, A.\u00b2; Fathalla, S.\u00b2; Zainul Ihsan, A.\u00b2; Hofmann, V.\u00b2; Gedsun, A.\u00b3; Fliegl, H.\u00b9; Sandfeld, S.\u00b2; Sack, H.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 12:30<\/td>\n \n \n \n \n | \n Ontologies for defects in crystals: application in atomistic simulations<\/div>\n Azocar Guzman, A. (Speaker)\u00b9; Menon, S.\u00b2; Hofmann, V.\u00b9; Hickel, T.\u00b3; Sandfeld, S.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 12:50<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 14:10<\/td>\n \n \n | \n \n Dr. Kiran Gulia, Prof. Dr. Christian Kapteyn<\/span>\n \n D04.01: AI in Additive Manufacturing\n <\/div>\n\n <\/td>\n \n \n \n Highlight Lecture<\/span>\n <\/div>\n Machine learning for laser powder bed fusion: from process control to materials design<\/div>\n Kosiba, K. (Speaker)\u00b9; Kononenko, D.Y.\u00b9; King, W.E.\u00b2; Hufenbach, J.K.\u00b9; van den Brink, J.\u00b9; Chernyavsky, D.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 14:30<\/td>\n \n \n \n \n | \n Optimizing Data Collection for Advancing Materials Design through Machine Learning Applications<\/div>\n Wackerling, D. (Speaker)\u00b9; Morales-Rivas, L.\u00b2; Toda-Caraballo, I.\u00b2; Sanhueza, J.P.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 14:50<\/td>\n \n \n \n \n | \n Thermal history prediction by Machine Learning in Additive Manufacturing<\/div>\n Bejarano V\u00e1zquez, J.\u00c1. (Speaker)\u00b9; Morales Rivas, L.\u00b9; Toda Caraballo, I.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 15:10<\/td>\n \n \n \n \n | \n Harnessing AI's Power for Sustainable AM: A Circularity Perspective<\/div>\n Kumar, P. (Speaker)\u00b9; Jain, S.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 15:30<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 16:00<\/td>\n \n \n | \n \n Dr. Kiran Gulia, Prof. Dr. Christian Kapteyn<\/span>\n \n D04.02: AI in Materials, Microstructures and Nanotechnology\n <\/div>\n\n <\/td>\n \n \n \n Revolutionizing Neuromorphic Chip Development for advent of AI with 2D Transition Metal Dichalcogenides<\/div>\n Kumar, P. (Speaker)\u00b9; Gulia, K.\u00b2<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 16:20<\/td>\n \n \n \n \n | \n Artificial intelligence in nanotechnology material processing for biomedical application in wound management of chronic wounds<\/div>\n Gupta, A. (Speaker)\u00b9; Gulia, K.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 16:40<\/td>\n \n \n \n \n | \n Optimizing Microstructure of Rare Earth-based Permanent Magnets by Machine Learning<\/div>\n Tozman, P. (Speaker)\u00b9; Zamalloa, A.D.\u00b9; Aubert, A.\u00b9; Skokov, K.\u00b9; Gutfleisch, O.\u00b9<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 17:00<\/td>\n \n \n \n \n | \n A Novel Approach for Learning Microstructure-Properties using Dimensionality Reduction<\/div>\n Iza Teran, V.R. (Speaker)\u00b9; Morand, L.\u00b2; Steffes-lai, D.\u00b3<\/div>\n <\/td>\n \n \n <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n <\/td>\n \n \n \n \n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 17:20<\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n \n \n | <\/td>\n <\/tr>\n | \n 17:40<\/td>\n \n \n | \n \n Dr. Kiran Gulia, Prof. Dr. Christian Kapteyn<\/span>\n \n D04.03: Machine Learning\n <\/div>\n\n <\/td>\n \n \n \n | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |