Contributions
Advancements in Materials Modelling
Active Learning of Physics Aware Potentials for Nanostructured Systems: Application in Gas Sensing
Nikolaos Patsalidis
The Cyprus Institute, Cyprus
Benchmarking Adsorption Energetics and Reaction Mechanisms: Insights in Water–Carbon and H–Si Interfaces
Theodoros Tsatsoulis
National Technical University of Athens, Greece
Development and Application of an FMO-based Non-Empirical Scheme for χ Parameter Evaluation
Koji Okuwaki
JSOL Corporation, Japan
Fatigue Benchmark Repository – FABER (CA23109)
Kris Hectors
Universiteit Gent, Belgium
Graph Neural Network-Based Surrogate Model of Hot Stamping Finite Element Simulations
Pol Torres
EURECAT, Spain
Hybrid Modeling of Mixed Perovskite Oxides with Gaussian Process Regression: Overcoming Data Scarcity
Franz M. Rohrhofer
Know Center Research GmbH, Austria
Li ion diffusion in solid electrolyte analyzed using deep generative models
Hiroya Nitta
JSOL Corporation, Japan
Modelling of hydrogen-induced ductility loss in titanium-based hydrogen storage
Rainer Falkenberg
BAM - Federal Institute for Materials Research and Testing, Germany, Germany
Mesoscopic Water Model Polarisation: Knowledge in extending apolar CG water models to meet the needs for simulations of highly ionic electrolyte solutions in Redox Flow Batteries
Ilian Todorov
UKRI-STFC, United Kingdom
Software
Enhancing Data Acquisition in Manufacturing: LLMs for Effective Material Property Databases
Ines Pérez Couñago
AIMEN Technology Center, Spain
MaMMoS-MAgneticMultiscale MOdelling Suite
Santa Pile
Donau-Universität Krems, Austria
Multiphysics and Multiscale Integration with AI for Polymer Process Optimization in the DiMAT EU Project
Javier Gomez
ADVANCED MATERIAL SIMULATION, Spain
PIONEER: An open innovation platform for optimising for optimising production systems by combining product development, virtual engineering workflows and production data
Felix Vidal
AIMEN Technology Center, Spain
Reproducible workflows with Jupyter: case study in materials simulation
Hans Fangohr
Max Planck Institute for the Structure and Dynamics of Matter, Germany
Adoption in Industrial Ecosystems
Deep Transformers for Analysing Industrial Steelmaking Data
Hongbiao Dong
University of Leicester, United Kingdom
D-STANDART: Upgrading Materials Characterization for Composite Structures
Julian deMarchi
Royal Netherlands Aerospace Centre, The Netherlands
CuspAI: AI-Driven Material Science
Fergus Mcilwaine
CUSP AI LIMITED, United Kingdom
Driving Digital Transformation in Advanced Materials: The DiMAT Project’s Open Innovation Approach
Yoav Nahshon
Fraunhofer IWM, Germany
Focus Areas
EMMC 2025
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