MSE2026
From MaterialsCommons - Common Node
This is the approved revision of this page, as well as being the most recent.
Item:OSW8732b77b242e404889daeacfb218536b
Item:OSW8732b77b242e404889daeacfb218536b
| MSE2026 ID: OSW8732b77b242e404889daeacfb218536b | UUID: 8732b77b-242e-4048-89da-eacfb218536b | |
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| ID | OSW8732b77b242e404889daeacfb218536b |
| UUID | 8732b77b-242e-4048-89da-eacfb218536b |
| Label | MSE2026 |
| Machine compatible name | MSE2026 |
| Types/Categories | Event with People |
| Statements (outgoing) | |
| Statements (incoming) | |
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| Annotations | |
| Keywords | External Event |
| Details | |
MSE2026 will take place in Darmstadt, Germany from 29 September–1 October 2026. This popular event is one of Europe’s leading events for the materials science community that enables people to share the latest advances from functional and structural materials to digitalisation, characterisation and circular materials.
A number of MaterialsCommons colleagues will be attending this event, so the event promises to be a great networking opportunity too.
MaterialsCommons Contributions
Consortium members presenting at MSE 2026:
- 29 Sep 13:40, D10.2 - Simon Stier (Fraunhofer ISC): Object Oriented Linked Data: Harmonizing Materials Data Schemas Across Ontologies, Applications & AI
- 29 Sep 15:40, D10.3 - Emanuele Ghedini (UNIBO): Formal Representation of Applied Science Knowledge for Materials Science Applications
- 29 Sep 16:10, D10.3 - Patrick Lambrix (LiU): A Knowledge-Based Approach for Managing Additive Manufacturing Data
- 29 Sep 17:10, M02.4 - Tilmann Hickel (BAM): Stress induced nanohydride formation in Fe alloys
- 30 Sep 08:30, PL.2 - Elisa Molinari (CNR): Illuminating matter at the nanoscale
- 30 Sep 10:10, D08.1 - Gerhard Goldbeck (EMMC): The Path From Data Generation to AI-Ready Data
- 30 Sep 10:40, M04.1 - Franco Moitzi (Materials Center Leoben): [hhttps://mse-congress.com/program/scientific-program?tab=2026-09-30&event_item=019c08e2-95a9-724d-9338-a8390b73c881 Probabilistic Workflows for Ab Initio Design of Alloys]
- 30 Sep 10:55, D09.1 - Miguel Hernandez del Valle (IMDEA Materials): Autonomous Laboratory for the Development of New Polymer Nanocomposites
- 30 Sep 11:10, M06.1 - Juergen Spitaler (MCL): Prediction of the functional behavior of lead-free perovskites for energy applications based on DFT and MD simulations
- 30 Sep 11:25, M06.1 - Bernd Schuscha (Materials Center Leoben): Uncertainty-Aware PSP Modeling of Dynamic Recrystallization and Flow Behavior in C43 Steel
- 30 Sep 13:25, D03.1 - Tejs Vegge (DTU): AI-Orchestrated Computational Materials Discovery and Closed-Loop Synthesis of Nanoparticles and Electrocatalysts
- 30 Sep 13:25, D03 - Gerhard Goldbeck (EMMC): Alignment of the Sensor, Observation, Sample, and Actuator (SOSA) ontology with EMMO in the context of battery manufacturing digital twins (poster)
- 30 Sep 13:55, D03.1 - Özcan Sandikcioglu (Federal Institute for Materials Research and Testing (BAM), Berlin): Experimental Workflows for Accelerated Discovery of Corrosion Protection Technologies
- 30 Sep 14:25, D09.2 - Yoav Nahshon (Fraunhofer IWM): ORCHESTER: A Digital Ecosystem for Resilient and Sustainable Material Supply Chains
- 30 Sep 15:55, D02.1 - Marek Cebecauer (HIPC): MaterialsDCAT-AP: Towards discoverable data for materials science
- 30 Sep 17:10, D01.1 - Simon Stier (Fraunhofer ISC): How GenAI Makes Complex User Interfaces Obsolete, Thus Overcoming a Major Barrier for Digital Transformation in Materials Science
- 30 Sep 17:10, D03.3 - Tilmann Hickel (BAM): Leveraging workflow solutions to enable materials design
- 30 Sep 18:10, D09.4 - Ivano Eligio Castelli (DTU): Towards an Accelerated Design of Energy Materials and Interfaces
- 30 Sep 18:10, D03.3 - Jörg Schaarschmidt (KIT): Shaping the Future of Digital Workflows in Material Science within the MaterialDigital Initiative
- 1 Oct 11:25, D03.4 - Jesper Friis (SINTEF): Digital Exchange of Scientific Knowledge and Workflows
- 1 Oct 13:25, D03.5 - Daniel Scheiber (MCL): Digital Materials Design Within the ALPmat Platform Combining Experiment, Physics-Informed AI-Driven Workflows and Semantic Data Models
- 1 Oct 14:40, M05.3 - Ivano Eligio Castelli (DTU): The Effect of Intrinsic Defects in Grain Boundaries on Non- Radiative Recombination in CsPbI3 and CsPbBr3
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| allday | false | |||||
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| start_date | "2026-09-29" | |||||
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| end_date | "2026-10-01" | |||||
| location_name | "Darmstadt, Germany" | |||||
| event_classifier | "external" | |||||
| uuid | "8732b77b-242e-4048-89da-eacfb218536b" | |||||
| label |
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| name | "MSE2026" | |||||
| url | "https://mse-congress.de/" | |||||
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