Poster Contributions
Digitalisation & Interoperability
Aspects of data interoperability via ontologies in DOME 4.0 and OntoCommons projects
Silvia Chiacchiera
Science and Technology Facilities Council / UK Research and Innovation (STFC/UKRI), United Kingdom
An intuitive and expandable dataspace management system (DSMS) for materials science and manufacturing processes
Yoav Nahshon
Fraunhofer IWM, Germany
Collaborative Industrial Innovation along Production Chain of Active Protective Coatings – VIPCOAT
Natalia Konchakova
Helmholtz-Zentrum Hereon, Germany
EMMO’s Theoretical Foundations
Francesco Antonio Zaccarini
University of Bologna, Italy
FAIR Data driven by the Platform MaterialDigital: Exploration of the Data Acquisition Pipeline and Downstream Usage
Jörg Schaarschmidt
Karlsruhe Inst. of Technology (KIT), Germany
Materials Modelling Marketplace for Increased Industrial Innovation
Pablo de Andres
Fraunhofer IWM, Germany
MUSICODE Open Innovation Platform For Materials Modelling – MODELLING
Davide Di Stefano
Ansys UK, UK
OCES: Material Science Domain and Bridge concepts as alignment tools
Ilaria Maria Paponetti
University of Bologna, Italy
MUSICODE Open Innovation Platform For Materials Modelling – PLATFORM
Davide Di Stefano
Ansys UK, United Kingdom
Ontology-driven semantic interoperability in practice
Francesca Lønstad Bleken
SINTEF, Norway
Ontology-driven data documentation for Industry Commons – OntoCommons
Nadja Adamovic
TU Wien, Austria
Platform MaterialDigital
Alexander Straumal
Karlsruhe Institute of Technology (KIT), Germany
PSDI – Physical Sciences Data Infrastructure project
Ilian Todorov
PSDI, United Kingdom
Poster by Korea Research Institute of Chemical Technology
Jungho Shin
Korea Research Institute of Chemical Technology, Republic of Korea
Reduced Modelling, Data Training and Realtime Prediction Tools for Material Processes
Amir Horr
LKR, Austrian Institute of Technology, Austria
Towards materials data sharing across value chain: an interoperable, trust & sovereign approach
I. Fernandez, I. Quintana
Tekniker, Spain
Toward virtual forming and design – vform-xsteels project
António Andrade-Campos
Universidade de Aveiro, Portugal
The MCL-MAP: A platform for accelerated materials design based on active learning
Jürgen Spitaler
Materials Center Leoben Forschung GmbH, Austria
XAIR research data and epistemic metadata for molecular methods
Martin Thomas Horsch
Norwegian University of Life Sciences, Norway
Accelerated screening of oxide semiconductors by combinatorial spray deposition and highthroughput analysis
Theodoros Dimopoulos
AIT Austrian Institute of Technology, Austria
Impact in Industry
EASI-STRESS – European Activity for Standardization of Industrial Residual Stress Characterization
Nikolaj Zangenberg
Danish Technological Institute, Denmark
Horizon Europe MatCHMaker Project
Ludovic Jason
CEA, France
MatCHMaker II
Alexandre Ouzia
Heidelberg Materials, Germany
MOZART – Metal Matrix Nano-Composite Coatings Utilization as Alternative to Hard Chromium
Maddalena Rostagno
DIAD GROUP, Italy
SINTEF Materials and Nanotechnology
Inga Ringdalen
SINTEF, Norway
Validating predictive additive manufacturing models of EASISTRESS stainless steel residual stress benchmarks
Matthew Roy
University of Manchester, United Kingdom
Twinned MODA-CHADA for Materials: NanoBat, ULTCC6G_Epac, and I4BAGS Projects
Malgorzata Celuch
QWED Sp. z o.o., Poland
Model Development
AddMorePower Project
Olivia Pfeiler
KAI - Kompetenzzentrum Automobil- und Industrieelektronik GmbH, Austria
Data-driven materials modelling – is domain-knowledge needed?
Kersti Hermansson
Uppsala University, Sweden
D-STANDART project for Durability Modelling of Composites
Vis Dhanisetty
NLR - Royal Netherlands Aerospace Centre, Netherlands
DIMOFAC project – Digital Intelligent MOdular FACtories
Ronan Le Goff
IPC - Centre Technique Industriel de la Plasturgie et des Composites, France
Extraction of Mechanical Parameters via MD Simulation: Application to Polyimides
Philipp Rosenauer
Graz University of Technology, Austria
KNOWSKITE-X – Knowledge-driven fine-tuning of perovskite-basedelectrodematerialsfor reversible chemical-to-power devices
Elise BERRIER
UCCS, FRANCE
Machine Learning-Enabled Prediction of Electronic Properties of Radical-Containing Polymers at Coarse-Grained Resolutions
Riccardo Alessandri
University of Chicago, United States
Korea Institute of Energy Research
Byung-Hyun Kim
Korea Institute of Energy Research, Republic of Korea
Multiphysics and multiscale modelling at the LIGHTCOCE –OITB project
Javier Gomez
Advanced Material Simulation, Spain
OntoTrans – Ontology driven Open Translation Environment
Gerhard Goldbeck
Goldbeck Consulting, United Kingdom
Phase behaviour of coarse-grained liquids with soft attractive-repulsive potentials
Michael Seaton
UKRI STFC Daresbury Laboratory, United Kingdom
Project: Smart Adaptive Material and Processes Modelling for Emerging Digital Production Schemes (SAMPLE)
Johannes Kronsteiner
Leichtmetallkompetenzzentrum Ranshofen GmbH, Austria
Software
Atomistic Simulation Advanced Platform
Federico Marchesin
SIMUNE Atomistics S.L., Spain
Materials Square – a Cloud-Based Materials Simulation Platform
Gabriele Mogni
Virtual Lab Inc., South Korea