Invited, Keynote, and Plenary Talks
Since the launch of the NFDI call (June 2019), the Area and Task Leaders of FAIRmat have given numerous invited, keynote, and plenary talks on FAIRness and the challenges and chances of building a Research Data Infrastructure. Please find the first selection below:
Claudia Draxl - Spokesperson
| From FAIR Data to Knowledge and Novel Materials [abstract] Invited talk at the conference Physics for Society: Grand Challenges in the HORIZON 2050, Berlin, October 2021 |
| FAIRmat – Making Materials Data Findable and AI Ready Invited talk at the Fall Meeting of the German Physical Society (DPG), virtual meeting, September 2021 |
| From Data Mining to Knowledge: Refining a Precious Raw Material of the 21st Century [abstract] Keynote talk at the International Symposium on Nanoscale Research, Leoben, Austria, September 2021 |
| FAIR Data and Artificial Intelligence towards New Horizons in Materials Research Plenary talk at the EUROMAT 2021, virtual meeting, September 2021 |
| FAIRmat’s Approach to Data-centric Science Invited talk at the SHU - MGI - FAIR-DI Workshop 2021 on FAIR-Data-Driven Materials Research, China, virtual meeting, June 2021 |
| From data to knowledge Invited talk at the International Materials Square Workshop on Computer-Aided Materials Discovery, Korea, virtual meeting, June 2021 |
| From data to knowledge Invited talk at the FunMat-II seminar on AI and machine learning for materials design, Sweden, virtual meeting, June 2021 |
| From physics today to publishing and research of tomorrow Physics Colloquium at the University of Kiel, May 2021 |
| From data to knowledge Seminar at the 4th installment of the CECAM Mixed-Gen series on the topic of Data Driven Science, April 2021 |
| New Horizons for Materials Research Invited talk at the APS March Meeting 2021, March 2021 |
| Recycle the Waste! Talk at APE 2021, January 2021 |
| FAIR Data Infrastructures Towards New Horizons for Materials Research Talk at the 2020 Virtual MRS Fall Meeting, November 2020 |
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Sharing is caring! Mit FAIRem Datenmanagement und KI die Materialien der Zukunft entdecken (DE) [video] |
| FAIRmat - FAIR Data Infrastructure for Condensed-Matter and Chemical Physics [video] Keynote at the EPICS Collaboration Fall Meeting 2020, October 2020 |
| Predicting Properties of Complex Materials: Challenges for Modern Ab Initio Theory [video] HITS Colloquium, October 2020 |
| Stepping Stones towards the Fourth Paradigm of Materials Science Seminar for Research Training Group QM3, University Bremen |
| Data-driven Research: the Fourth Paradigm of Materials Science Werkstoffwissenschaftliches Kolloquium, Erlangen |
| New Horizons for Materials Research - Role of FAIR Data [video] [discussion] Plenary talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Towards FAIR Experimental Data Invited talk at the Spring Meeting of the German Physical Society (DPG), Dresden, Germany, March 2020 [Meeting canceled due to COVID-19] |
| Verification and Error Estimates for Ab Initio Data Invited talk at the Spring Meeting of the German Physical Society (DPG), Dresden, Germany, March 2020 [Meeting canceled due to COVID-19] |
| Opto-electronic Excitations of 2D Materials: Unraveling Similarities Through Fingerprints Invited talk at the APS March Meeting 2019, Denver, USA, March 2020 [Meeting canceled due to COVID-19] |
| Verification and Error Estimates for Ab Initio Data Invited talk at the Materials Research Meeting 2019 (MRM2019), Yokohama, Japan, December 2019 |
| FAIR Data Management in Materials Science - From Sample Synthesis to Artificial-intelligence Invited talk at a workshop on Forschungsdatenmanagement und Maschinelles Lernen in den Ingenieurwissenschaften am Beispiel der Materialwissenschaften, Karlsruhe, Germany, November 2019 |
| Computational Materials Science: From Phase Diagrams to Optical Excitations and Data-driven Research Physikerinnentagung, Berlin, Germany, November 2019 |
| Open and Data-driven Science – the Need for a FAIR Data Infrastructure Plenary talk at the 5th International Conference on Molecular Simulation (ICMS 2019), Jeju, Korea, November 2019 |
| Benchmark Calculations Towards Ultimate Precision in Density-Functional Theory Invited talk at Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
| The NOMAD Encyclopedia – a Tool for Exploring Computed Data Invited talk at Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 9-13, 2019 |
| The NOMAD Project Invited talk at the workshop Hands-On DFT and Beyond: High-throughput screening and big-data analytics, towards exascale computational materials science, Barcelona, Spain, August/September 6, 2019 |
| Artificial Intelligence in Materials Science - Hype or Revolution? Plenary talk at the Joint Annual Meeting of the Swiss Physical Society and the Austrian Physical Society, Zurich, Switzerland, August 2019 |
| Shaping the Fourth Paradigm of Materials Science Invited talk at the 11th International Conference on Magnetic and Superconducting Materials (MSM11), Seoul, Korea, August 2019 |
| Verification and Error Estimates in Ab-initio Calculations Invited talk at the Symposium on Machine Learning in Materials Genome, Spetses, Greece, June 2019 |
Matthias Scheffler - Deputy Spokesperson
| Learning Rules for Materials Properties and Functions by Artificial Intelligence Invited talk at the US Materials Research Society Fall Meeting, December 2021 |
| Artificial Intelligence for Surface Science and Heterogeneous Catalysis: Learning Rules and Creating Maps of Materials Properties Plenary talk at the 9th International Symposium on Surface Science (ISSS9), November 2021 |
| Big Data and Statistically Exceptional Materials Invited talk at the Inauguration Symposium of the Villum Project K. S. Thygesen, Copenhagen, November 2021 |
| Paradigm Shift by Data-Centric Materials Science, Jointly Steered with and Enabled by the MPCDF Keynote talk at the Symposium 60 Years MPCDF, Garching, October 2021 |
| Open Data in Naturwissenschaften und Mathematik: Das FAIRmat Konsortium Keynote lecture at the Berlin-Brandenburgische Akademie der Wissenschaften, Oktober 2021 |
| Properties of Materials from First Principles [video] Keynote lecture at the hands-on course on FHI-aims, August 2021 |
| Big Data and Statistically Exceptional Materials [video] Plenary talk at the International Conference, Materials for Humanity, Singapore MRS, July 2021 |
| Artificial Intelligence Towards Materials Maps [video] Invited talk at the 2021 MRS Spring Meeting, April 2021 |
| FAIRmat - A proposed Consortium of the German Research-Data Infrastructure [video] Invited talk at the DPG Spring Meeting organized by Deutsche Physikalische Gesellschaft e.V., March 2021 |
| Big-Data-Driven Materials Science Invited talk at the kick-off meeting of the Max-Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis, February 2021 |
| The NOMAD Laboratory at the FHI of the Max Planck Society At the Selection Symposium of the Max Planck Graduate Center for Quantum Materials, February 2021 |
| Subgroup Discovery, Rare-Phenomena Challenge, and Domain of Applicability [video] & [video] Lecture at the course on Big Data and Artificial Intelligence in Materials Sciences, January 2021 |
| Sharing is caring! Mit FAIRem Datenmanagement und KI die Materialien der Zukunft entdecken (DE) [video] Plenary talk together with Claudia Draxl and Peter Frensch at the Berlin Science Week 2020, November 2020 |
| FAIR Data Infrastructure and Artificial Intelligence in Materials Science [video] Plenary talk at the 6th International Conference on Electronic Materials and Nanotechnology for Green Environment, November 2020 |
| Identifying “The Genes” of Materials Properties Invited talk at the Symposium AI for Materials: From Discovery to Production, October 2020 |
| Opening and Welcome [video] as Chair of the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Concluding Remarks [video] as Chair of the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| FAIR-DI: FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy Invited talk at the Spring Meeting of the German Physical Society (DPG), Dresden, Germany, March 2020 [Meeting canceled due to COVID-19] |
| Topological Regions in a 'Map of Materials Properties' of Twodimensional Materials Invited talk at the APS March Meeting 2019, Denver, USA, March 2020 [Meeting canceled due to COVID-19] |
| Urgent Needs and Scientific Chances of a FAIR Data Infrastructure Invited talk at the Colloquium FEST with FAIRness, Berlin, Germany, January 2020 |
| Data-Centric Science for Materials Research: When The New Science Is in The Outliers Keynote at the Materials Research Meeting 2019, Tokyo, Japan, December 2019 |
| Fourth Paradigm of Materials Science: Novel Research Routes by Artificial Intelligence Colloquium at Paul Scherrer Institute, Villingen, Switzerland, December 2019 |
| Modeling Materials Properties by Artificial Intelligence and Density-functional Theory Colloquium at the Korea Institute of Science and Technology (KIST), Seoul, Korea, November 2019 |
| Big-Data-Driven Materials Science and its FAIR Data Infrastructure Plenary talk at the 5th International Conference on Molecular Simulation (ICMS 2019), Jeju, Korea, November 2019 |
| Subgroup Discovery and Multi-Task SISSO for Novel Materials Discovery Invited talk at the Inaugural Symposium for Computational Materials Program of Excellence, Moscow, Russia, September 2019 |
| Big Data Driven Materials Science – Introduction and Overview Invited talk at the Big Data Summer – A Summer School of the BiGmax Network, Platja d’aro, Spain, September 2019 |
| Thermal and Electrical Conductivity to all Orders in Electron-phonon and Phonon-phonon Coupling Invited talk at the 24th ETSF Workshop on Electronic Excitations, Light-Matter Interaction, and Optical Spectroscopy from Infrared to X-Rays, Jena, Germany, September 2019 |
| Materials Discovery from Electronic-structure Theory Invited talk at the workshop Hands-on DFT and Beyond: High-Throughput Screening and Big-Data Analytics, Towards Exascale Computational Materials Science, Barcelona, Spain, August 2019 |
| Big Data and Artificial Intelligence in Materials Science: When The New Science Is in The Outliers Seminar at the Korea Research Institute of Chemical Technology (KRICT), Daejon, Korea, August 2019 |
| Big Data and Artificial Intelligence in Materials Science: When The New Science Is in The Outliers Seminar at the Yonsei University, Department of Materials Science and Engineering, Seoul, Korea, August 2019 |
| Big Data and Artificial Intelligence in Materials Science: When The New Science Is in The Outliers Invited Talk and seminar at the Physics/BK21, Pohang University of Science and Technology, Pohang, Korea, August 2019 |
| When The New Science Is in The Outliers Invited talk at the Artificial Intelligence for Materials Science (AIMS) 2019 Workshop, Gaithersburg, USA, August 2019 |
| Making the Data Revolution Happen Invited talk at the CCP2019 - 31st IUPAP Conference on Computational Physics, Hong Kong, July 2019 |
| Modeling the Function of Materials by Artificial Intelligence Hardy Gross Workshop, Halle, Germany, June 2019 |
| Subgroup Discovery and Multi-Task SISSO for Novel Materials Discovery Invited talk at the Symposium on Machine Learning in Materials Genome, Spetses, Greece, June 2019 |
Martin Aeschlimann - PI
| Satellite Workshop on Data Acquisition in Angle-Resolved Photoemission Spectroscopy at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Big Data in Acquisition in ARPES Focus session at the Spring Meeting of the German Physical Society (DPG), Dresden, Germany, March 2020 [Meeting canceled due to COVID-19] |
Sören Auer - PI
| From Scientific Articles to Research Data and a Knowledge Graph for Science [video] [discussion] Invited talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
Tristan Bereau - PI
| Compound Screening in Soft Matter from Multiscale Simulations [video] [discussion] Invited talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
Silvana Botti - PI
| Structural Prediction and Computational Materials Design: From Bulk Crystals to Interfaces and Surfaces Invited talk at the Physics Colloquium Structural prediction and computational materials design: from bulk crystals to interfaces and surfaces, Ilmenau, Germany, January 2020 |
Hans-Joachim Bungartz - PI
| Perspectives of Exascale Computing in the Context of AI Invited Talk at the 3rd French-Japanese-German Workshop on the Convergence of HPC and Data Science, Tokyo, Japan, November 2019 |
| Research Data Infrastructures – How Generic Can & Should They Be? Invited Talk at the Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
| Sparse Grids and their Impact on HPC and Big Data Invited Talk at the SIAM Chapter Colloquia 2019, SISSA, Triest, Italy, July 2019 |
| Sparse Grids and their Impact on HPC and Big Data Invited Talk at Sun Yat-sen University, Guangzhou, China, June 2019 |
| Sparse Grids and their Impact on HPC and Big Data Invited Talk at Peng Cheng Labs, Shenzhen, China, June 2019 |
| Racks & Brains Invited Talk at the ceremonial event "50 Jahre Rechenzentrum", TU Dresden, Germany, January 2019 |
Ralph Ernstorfer - PI
| FAIR publishing: requirements for open research data and workflows in experimental physics [video] Invited talk at the EPICS Collaboration Fall Meeting 2020, October 2020 |
| Satellite Workshop on Data Acquisition in Angle-Resolved Photoemission Spectroscopy at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Big Data in Acquisition in ARPES Focus session at the Spring Meeting of the German Physical Society (DPG), Dresden, Germany, March 2020 [Meeting canceled due to COVID-19] |
| Ultrafast Dynamics of Electrons, Excitons and Phonons in Momentum Space Invited Talk at the 21st International Winter School on New Developments in Solid State Physics, Mauterndorf, Austria, February 2020 |
| Ultrafast Dynamics of Electrons, Excitons and Phonons in Momentum Space Invited Talk at the 6th Muju International Winter School, Muju, South Korea, January 2020 |
| Ultrafast Electron Dynamics: Momentum- and Real-space Perspective Invited Talk at the Conference Forefront of Measurement Technologies for Surface Chemistry and Physics in Real-Space, k-Space, and Real-Time, Okazaki, Japan, December 2019 |
| Ultrafast Multidimensional Photoemission Spectroscopy and Diffraction of Nanoscale Materials Keynote Talk at the CECAM-PSIK Workshop Ultrafast Physics from Molecules to Nanostructures, San Sebastian, Spain, October 2019 |
| Multidimensional Photoemission Spectroscopy of Optically Prepared Non-equilibrium States of WSe2 Invited Talk at CORPES 2019, International Workshop on Strong Correlations and Angle-Resolved Photoemission Spectroscopy, Oxford, UK, July 2019 |
Luca Ghiringhelli - PI
| Ontologies in Computational Materials Science: the NOMAD experience [video] Invited talk at the Workshop - Ontologies for Materials-Databases Interoperability Online & Linköping University, October 2021 |
| Compressed sensing meets symbolic regression: learning interpretable models Invited lecture at the BiGmax Summer School online, September 2021 |
| Symbolic inference for small-data-driven materials science Invited talk at the Computational spintronics group Trinity College, Dublin, Ireland, August 2021 |
| Data-driven materials maps: Symbolic inference applied to heterogeneous catalysis Invited talk at the ACS Fall Meeting 2021 - Session: Machine Learning Materials Science, August 2021 |
| NOMAD Metainfo: FAIR (meta)data for materials science Invited talk at "Research-Data Management in Biophysics" - virtual workshop at the European Biophysics Conference 2021, July 2021 |
| Towards Small-Data-Driven Materials Science Invited talk at EOSBF 2021 - Autumn Meeting of the Brasilian Physical Society, June 2021 |
| Symbolic inference in materials science: Towards human-friendly artificial intelligence Invited talk at the Physics Colloquium online - Theoretical Chemical Physics group at the University of Luxembourg, May 2021 |
| Towards Small-Data-Driven Materials Science [video] Invited talk at the 2021 MRS Spring Meeting, April 2021 |
| Ontologies in Computational Materials Science: The NOMAD experience Invited talk at the 3rd EMMC International Workshop, March 2021 |
| FAIR data and metadata: the NOMAD experience Invited talk at " Battery2030+ Initiative" Workshop on RDM, Guidelines, and Standards, online, March 2021 |
| FAIRmat - A proposed Consortium of the German Research-Data Infrastructure [video] Invited talk at the DPG Spring Meeting organized by Deutsche Physikalische Gesellschaft e.V., March 2021 |
| Clusters and Surfaces in Reactive Atmospheres at Realistic Conditions: Beyond the Static, Monostructure Description Invited talk at APS March Meeting 2021, March 2021 |
| Bridging scales with symbolic inference: the case of heterogeneous catalysis Invited talk at TYC Symposium "Machine Learning: application to Chemical Reactions", February 2021 |
| Interpretable Artificial Intelligence for the not-so-big Data of Materials Science Invited talk at the joint seminar of the NOMAD LAB and the MA GROUP, January 2021 |
| Beyond just fitting numbers: interpretable artificial intelligence for the small data of materials science Invited talk at the HEIBRiDS Lecture Series @ECDF, Berlin, October 2020 |
| Beyond just fitting numbers: interpretable artificial intelligence for the small data of materials science Invited talk at the IKZ Colloquium, Berlin, October 2020 |
| Artificial Intelligence for Data-Driven Materials Science: Small Data and Interpretability [video] Invited talk at the Interdisciplinary Seminar Series of TBAE, "Research Institute for Fundamental Sciences, Gebze, Turkey, Webinar, August 2020 |
| Community-driven Metadata and Ontologies for Materials Science and their Key Role in Artificial-intelligence Tools [video] [discussion] Invited talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Artificial intelligence for data-driven (materials) science: small data and interpretability Invited talk at the Colloquium „Medical Physics and Metrological IT, Physikalisch Technische Bundesanstalt, June 2020 |
| Artificial Intelligence for (big?) Data-driven Materials Science: Achievements and Perspectives Invited talk at the colloquium Machine Learning meets Chemistry, Turin, Italy, February 2020 |
| Metadata and Ontologies for Computational and Experimental Materials Science: Achievements and Challenges Invited talk at the symposium Superalloy Data Science Acquisition, Storage, Mining and Machine Learning, Bochum, Germany, January 2020 |
| Beyond Just Fitting Numbers: Artificial Intelligence for Identifying Statistically Exceptional Materials Invited talk at the 2019 MRS Fall Meeting, Boston, USA, December 2019 |
| Artificial Intelligence for Data-driven Materials Science: Achievements and Perspectives Keynote at the Kick-off week of the Max Planck Graduate Center for Quantum Materials, Stuttgart, Germany, November 2019 |
| Artificial Intelligence for Data-driven Materials Science: Achievements and Perspectives Invited talk at a seminar at Aarhus University, Department of Physics and Astronomy, Aarhus, Denmark, November 2019 |
| Artificial Intelligence for Data-driven Materials Science: Achievements and Perspectives Invited talk at the IRIS Symposium 2019, Berlin, Germany, October 2019 |
Mark Greiner - PI
| FAIR’ifying Experimental Data [video] [discussion] Invited talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| FAIR Data Presentation at ECASIA 2019, Dresden, Germany, September 2019 |
Axel Groß - PI
| Descriptors and Atomic Level Understanding for Post-Li Battery Technologies Invited talk at the 258th ACS National Meeting, San Diego, USA, August 2019 |
| Atomic Level Understanding of Structures and Processes in Post-Li Battery Technologies Using the Concept of Descriptors Invited talk at the E-CAM Workshop Electrochemical Energy Storage: Theory meets Industry, Paris, France, June 2019 |
Marius Grundmann - PI
| (Al,Ga)2O3 and (In,Ga)2O3 Alloy Semiconductors in Various Crystal Phases: Physical Properties, Pseudomorphic Epitaxy and Device Perspectives Plenary talk at the Materials Research Meeting 2019 - Materials Innovation for Sustainable Development Goals (MRM 2019), Yokohama, Japan, December 2019 |
| Amorphous Transparent N-Type and P-Type Electronic Semiconductors for Thin Film Devices Invited talk at the Materials Research Meeting 2019 - Materials Innovation for Sustainable Development Goals (MRM 2019), Symposium G2 "Materials Frontier for Transparent Advanced Electronics, 5th Bilateral Symposium between E-MRS and MRS-J", Yokohama, Japan, December 2019 |
Thomas Heine - PI
| Computational Design of Two-dimensional Photo- and Electrocatalysts Plenary talk at the 8th SolTech Conference, Erlangen, Germany, December 2019 |
Christoph Koch - PI
| Advances in Modeling, Simulation, Artificial Intelligence, and Software in Microscopy and Microanalysis for Physical and Biological Systems [video] Invited talk at the Microscopy and Microanalysis 2020 virtual Meeting, August 2020 |
| (Big) Data-driven Research and Teaching in Experimental Physics [video] Invited talk at the Satellite Workshop on NFDI @ Teaching at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Filling in Missing Links of a FAIR Data Infrastructure for Electron Microscopy [video] |
| FAIRmat – a FAIR Data Infrastructure for Materials Science and Related Research Fields Invited talk at the Joint HZB & PTB Materials Metrology Workshop, Berlin, Germany, December 2019 |
| An open metadata format and data management for electron microscopy Invited talk at the EUSMI/NFFA-EUROPE School on Data Management, December 2019 |
Markus Kühbach - PI
| FAIR scientific computing Invited talk at ATP, October 2020 |
| Motivating for Community Efforts Towards FAIR APT [video] Talk at the APT Technical Committee 2020, August 2020 |
| Analyzing Atom Probe Tomography Data [video] Talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
Erwin Laure
| The Future of Swedish e-Science: SeRC 2.0 Invited talk at the International Conference on eScience 2019, San Diego, USA September 2019 |
Dierk Raabe - PI
| Big Data-Related Challenges in Microstructure Research and Alloy Design Invited Talk at the Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
Markus Rampp
| High-Performance Data Analytics: Basic Concepts of Distributed Deep Learning Invited Talk at the Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
Annette Trunschke - PI
| Experimental Handbook for Clean Data in Catalysis [video] [discussion] Invited talk at the FAIR-DI e.V. virtual Conference on a FAIR Data Infrastructure for Materials Genomics, June 2020 |
| Standard operation procedures in heterogeneous catalysis research at the joint HZB-PTB Satellite Workshop Materials Metrology to the HZB User Meeting 2019, Berlin, Germany, December 2019 |
| Concepts in Heterogeneous Catalysis and Challenges of Digital Catalysis Basic lecture program - BIG-NSE Initial Phase WS 2019, 2019 |
| Big-data driven catalysis research: Challenges and Chances Invited Talk at the Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
| Clean Data Acquisition in Oxidation Catalysis Invited Talk at the Big Data Summer: A Summer School of the BiGmax Network, Platja d’Aro, Spain, September 2019 |
| Specifics of Metadata and Design of Experiment in Heterogeneous Catalysis Research Invited talk at the Big-Data Driven Materials Science: A NOMAD-FAIRDI Workshop, Berlin, Germany, July 2019 |
Christof Wöll - PI
| Programmed Assembly of Designer Solids from Molecular Building Blocks: A Route towards Digitalization of Materials Research? Plenary talk at the 21st Anniv. International Symposium on Eco-Materials Processing and Design (ISEPD2020), Yantai, China, January 2020 |
| Fabricating Designer Solids with Bespoke Physical Properties: The SURMOF Approach Invited talk at the Nature Conference, Tianjin, China, November 2019 |
| Design of Crystalline 2D Materials: The SURMOF Approach Invited talk at the Chem2Dmat, Dresden, Germany, September 2019 |
| Fabricating Designer Solids: The SURMOF Approach Invited talk at the MOF Summer School, Graz, Austria, September 2019 |
| Multifunctional, Crystalline Designer Solids via Layer-by-Layer Assembly of Molecular Building Blocks: Principles, Prospects, an Applications of SURMOFs Invited talk at the FKA20 Konferenz, Vienna, Austria, July 2019 |
| Digitalization of Materials Science: Challenges and Prospects Invited talk at the Metadata WS, Berlin, Germany, July 2019 |