BatCAT deliverable 7.1: Communication and dissemination plan, including an overview of planned training activities (version 2)

101137725/BatCAT/WP7/D7.1v2 1 D7.1: Communication and Dissemination Plan, including an overview of planned training activities Grant agreement number: 101137725 Project acronym: BatCAT Project title: Battery Cell Assembly Twin Project website: http://batcat.info/ Project start date: 01.01.2024 Project duration: 42 months Call topic: HORIZON-CL5-2023-D2-01-03 Deliverable type: Report (R) Related work package: WP7 Due date: 30.06.2024 (v1) / 31.03.2025 (v2, milestone 10) Actual submission date: 28.06.2024 (v1) / no submission of v2 on the EC portal Responsible beneficiary: Hochschule Kaiserslautern (HSKL) Dissemination level: Public (PU) Version: D7.1 v2 (31.03.2025) Abstract: This communication and dissemination plan is a public deliverable from the BatCAT consortium, meant to inform the general public on our plans. It includes an overview over the planned training activities. This is version no. 2 of deliverable D7.1, produced for milestone 10. Author list Beneficiary Name Contact e-mail HSKL Johanna Glutting [email protected] HSKL Stephan Werth [email protected] NMBU Luis Eduardo Córdova López [email protected] NMBU Martin Thomas Horsch martin.thomas.hors[email protected] CPI Oliver Willis [email protected] GCL Vikki Cantrill [email protected] Document history Version Date Reason/comment Revised by 1.0 28.06.2024 Deliverable submission date See author list for all who contributed 101137725/BatCAT/WP7/D7.1v2 2 2.0 31.03.2025 Revision (project milestone 10) Johanna Glutting with input from partners Disclaimer Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the EU nor the CINEA can be held responsible for them. BatCAT has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101137725. 1 Purpose of the document BatCAT is the project that will realize the BATTERY 2030+ manufacturability programme from 2024 to 2028, addressing battery cell manufacturing innovation for LIB and Na-ion cells as well as redox-flow batteries, thus covering portable and stationary applications. The communication and dissemination plan provides the framework of all activities for informing and educating internal and external stakeholders about the project. The awareness about the project and knowledge about the project results will lead to a higher degree of exploitation. This document is a deliverable by Month 6 of the project. The relevant communication channels are discussed with respect to the target stakeholders and content for communication. The target audiences for communication efforts are identified as the general public, academia, industry and policy makers. For each of those parties relevant communication channels have been identified, to meet their specific needs and preferences for receiving information about the BatCAT project. 2 Dissemination Strategy 2.1 Stakeholder engagement, training The actions in these plans will maximize the impact and exploitation of the project. The BatCAT dissemination and communication activities target four specific stakeholder groups, in line with the quadruple helix approach: The general public 101137725/BatCAT/WP7/D7.1v2 3 Relevant stakeholders from the general public are university and high school students who can be encouraged to choose a career path in the battery manufacturing sector by being informed about the current developments and opportunities. This is also a good opportunity particularly regarding the gender dimension. Academic institutions Academic institutions and researchers working on similar projects need to be made aware of the BatCAT project in order to create areas for collaboration and knowledge transfer. Industry As the BatCAT project is specific to the manufacturing of batteries, the awareness of the battery manufacturing industry is crucial for a good exploitation of the results of the project as well as establishing collaborations between industry partners and Policymakers The BatCAT project has received funding by the EU and the Battery 2030+, it is therefore in their interest to be informed about the progress of the project. This is to strengthen the project’s societal impact. 2.1.1 Analysis of dissemination tools for the different stake holders Activities are adapted to each stakeholder group to maximize visibility and support specific exploitation. For the scientific community, the main dissemination activities are conferences and scientific papers. For the industry, project results will be presented at industrial fairs and industrial magazines with a focus on how to use the project results in an industrial environment. Policymakers will be informed about the standardization potential of digitalized battery testing using a federated data organization. Entertaining short stories, infographics, and video clips will be used to explain the benefits of digital technologies to citizens, explaining how job opportunities will be created and waste reduced. A good communication strategy is key to disseminating the project’s outcome to all relevant stakeholders, maximizing its impact on heterogeneous communities. The following table analyses the relevance of the different dissemination tools for the different stakeholders. Dissemination Tool / Stakeholder General public Academic institutions Industry Policymakers Scientific publications and conferences Low High High Medium Project website High Medium Medium Low Social Media: LinkedIn High Low Medium Low News posts (also social media like LinkedIn) Medium Medium High Low Hackathon Medium High Medium Low Training events (together with consortial meetings) Medium High Medium Low Webinars Medium High Medium Low 101137725/BatCAT/WP7/D7.1v2 4 2.2 Scientific publications and conferences Project results will be published in the scientific literature, dedicated journals, and magazines relevant to the stakeholders of BatCAT, both in the academia and for industrial practitioners. All scientific publications will be openly accessible on Zenodo. The list of publications in journals will grow further as the project progresses. Scientific Journals BatCAT research area lead partners no. of papers No. already done International Journal of Thermophysics Multiscale modelling RPTU 2 2 Journal of Non-equilibrium Thermodynamics Transport process simulations RPTU 1 1 Journal of Chemical & Engineering Data Modelling of thermophysical properties of electrolyte solvents RPTU 1 1 Journal of Physical Chemistry C Molecular simulation of wetting and adsorption in mixture systems RPTU 1 1 Fluid Phase Equilibria Multiscale modelling of polar interactions for solvents RPTU 1 1 Nature communications Entropy scaling for diffusion coefficients in fluid mixtures RPTU 1 1 Materials & Design Materials design for electrodes (LIBs) LOYOLA 1 Journal of Power Sources Simulation of manufacturing process LOYOLA 1 Journal of the Electrochemical Society Simulation of manufacturing process LOYOLA 1 International Journal of Forecasting Decision Support / Surrogate model/ Time Series NMBU 1 IEEE Access Decision Support / Surrogate model/ Time Series NMBU 1 Data Mining and Knowledge Discovery Decision Support / Surrogate model/ Time Series NMBU 1 Journal of Computational Physics Modelling of Redox flow batteries NMBU/SI MULA/Va nevo/UK RI 2 ACS Applied Materials & Interfaces Multiscale modelling of solid electrolyte interfaces (SEI) IFPEN 1 Computers in Industry Battery Digital Twin Semantics and Applications GCL 1 IEEE Access Ontology Learning, Schema Alignment, Mapping, Cellular Neural Network (CeNN) ML Predictor AAU, NMBU 1-2 - 101137725/BatCAT/WP7/D7.1v2 5 IEEE Open (Data Descriptions, Industrial Electronics) Qualitative Logical Reasoning, Realtime Functionality, Manufacturing Process AAU, NMBU 1-2 - Journal of Chemical Physics Combining multi-criteria optimization of molecular models with machine learning HSKL 1 Jounal of Catalysis The necessity of dynamic workflow managers for advancing self-driving labs and optimisers, to be submitted DTU 1 IEEE Access Beyond Deep Learning: Cellular Neural Networks (CeNNs) as a Paradigm Shift for Ultrafast, Robust, UncertaintyAware, and Resource-Efficient Multivariate Time-Series Forecasting AAU 1 List of published publications: - S. Stephan et al.: Mass transfer at vapor-liquid interfaces of H2O + CO2 mixtures studied by molecular dynamics simulation, J. Non-Equilib. Thermodyn. 49 (2024) 441-461. - J. Staubach et al.: Helmholtz energy models for dipole interactions: Review and comprehensive Assessment, Fluid Ph. Equilib. 585 (2024) 114168. - H. Rennis et al.: Characteristic Curves of Polar Fluids: (I) The Two‑Center Lennard–Jones Plus Dipole Fluid, Int. J. Thermophys. 45-6 (2024) 73. - H. Rennis et al.: Characteristic Curves of Polar Fluids: (II) The Two‑Center Lennard–Jones Plus Quadrupole Fluid, Int. J. Thermophys. 45 (2024) 77. - S. Schmitt et al.: Measurements and Equation of State Modeling of the Density of Five 1Alcohols (C6-C10) at Pressures up to 120 Mpa, J.Chem. Eng. Data 69-9 (2024) 2967-2983. - S. Schmitt et al.: Entropy scaling for diffusion coefficients in fluid mixtures, Nat. Commun. 16 (2025) 2611. - D. Fertig et al.: Molecular Dynamics Study of Adsorption and Wetting of Mixtures of Simple Fluids on Planar Walls, J. Phys. Chem. C 128-27 (2024) 11340-11354. Conferences targeted for collaborative contributions from BatCAT: Conference BatCAT research area partners no. of papers planned No of finished conferences STAMS 2025 Modelling of Manufacturing process (LIBs) LOYOLA, POLITO 1 Particles 2025 Modelling of Manufacturing process (LIBs) Loyola 1 Association for the Advancement of Artificial Intelligence (AAAI) Decision Support / Surrogate model/ Time Series NMBU 1 European Conference on Artificial Intelligence (ECAI) Decision Support / Surrogate model/ Time Series NMBU, AAU 1 Knowledge Discovery and Data Mining (KDD) Decision Support / Surrogate model/ Time Series NMBU 1 101137725/BatCAT/WP7/D7.1v2 6 European Conference on Artificial Intelligence (ECAI) Actionable Modelling Logical Reasoning. AAU, NMBU 1-2 IEEE Conference on Artificial Intelligence Logical Reasoning under Uncertainty, ASP, Real-time Functionality AAU, NMBU 1-2 Knowledge Discovery and Data Mining (KDD) Ontology Learning, Schema Alignment AAU, NMBU 1 IEEE Circuits and Systems Society (IEEE CASS) Conference Decision Support/ ML Models AAU, NMBU 1 ModVal 2025 - 21st Symposium on Modeling and Validation of Electrochemical Energy Technologies in Karlsruhe, Germany Comparative analysis of ethylene carbonate decomposition in Li2CO3 and Na2CO3-based solid electrolyte interphases (oral presentation) IFPEN 1 1 249th ECS (The Electrochemical Society) Meeting May 24-28, 2026 – Seattle, WA, US SIMULA - 78th ICE (International Society of Electrochemistry) annual meeting 2027 5-10 September, Glasgow, UK SIMULA - 253rd ECS Meeting May 21-25, 2028 – Gothenburg, Sweden SIMULA - International Conference on Applied Mathematics & Computer Science (ICAMCS), Venice, Italy, 2024 Combining Autoencoder and Cellular Neural Networks for Enhanced Direct Multi-Step Forecasting of Short and LongTerm Multivariate Time Series in Battery Health Monitoring: A Preliminary Feasibility Analysis (Paper and Talk) AAU 1 1 AutSys 2024, Mallorca (Conference), Spain. 25th - 30th October, 2024 Enhancing Long-Term Battery Health Multivariate Time-Series Prediction Monitoring: A Comparative Study of Neural Networks, Autoencoders, and Transformer Models (Talk) AAU - 1 101137725/BatCAT/WP7/D7.1v2 7 Batteries Event 2025, Lyon, 46Nov. 2025 Impact of manufacturing parameters on battery cell behaviour. IFPEN 1 KPIs: By end of project, there are ≥18 publications attributed to BatCAT in journals with an impact factor ≥2.0, and there are ≥36 publications attributed to BatCAT overall (including all journals and conference proceedings). Additionally, emerging innovative publication outlets such as ing.grid will be considered for data-oriented formats such as peer-reviewed data publications (in addition to publishing in the traditional formats, not replacing it). Inevitably not all conferences pertinent to the topics as covered within the BatCAT programme have been announced and publicised, therefore we anticipate that numerous other conferences will also be of interest to all partners in due course. The conferences that will be targeted are likely to be similar in topic to those listed above. 2.2.1 Workshops and other dissemination similar to conferences This section lists the workshops and other dissemination similar to conferences including conferences where there are only abstracts but no papers • Battery2030+ events (& related projects such as BIG-MAP) o Grindelwald European Battery Data Space Workshop 2024 (short presentation only) o Battery2030+ Conference, Grenoble, 2024 (presentation and abstract only, no paper); contributors: Whole consortium o Oslo Battery Workshop, 2024 (presentation and abstract only, no paper); contributors: Whole consortium o Battery2030+ roadmap workshop 19.03.2025 (DTU, NMBU) o We will regularly participate in Battery2030+ events throughout the project runtime. • CAPE-OPEN Annual Meeting 2024; contributors: NMBU o Moving from FAIR data principles to XAIR, CAPE-OPEN Annual Meeting, Berlin, 8 October 2024 • 22nd Symposium on Thermophysical Properties Modelling and prediction of thermophysical properties (presentations and abstracts only, no paper); contributor: RPTU • Open Innovation Platform Conference 2024, Kaiserslautern (presentation and abstract only, no paper); contributors: ITWM, HSKL, LIST, NMBU, RPTU, UKRI • Thermodynamik-Kolloquium (annually, planned to contribute three times; presentation and abstract only, no paper); contributors: RPTU, HSKL • Joint Ontology Workshops (JOWO, annually, planned to contribute twice; as a result, there will be two papers); contributors: AAU, ITWM, LIST, NMBU, UKRI • DTE-AICOMAS 2025, Paris; contributors: NMBU, SIMULA, UKRI, VANEVO. o Digital twin and dataspace architecture for vanadium redox-flow batteries in view of requirements for the digital materials and product passport, Artificial Intelligence and Computational Methods in Applied Science and III. IACM Digital Twins in Engineering Conference (DTE-AICOMAS 2025), Paris, 21 February 2025 101137725/BatCAT/WP7/D7.1v2 8 o + another talk by Sudeepika Liyanapathiranage (NMBU) • Thermodynamics 2027 (presentation and abstract only, no paper): HSKL, ITWM, NMBU, RPTU, UKRI • MolMod Workshop 2026: RPTU, HSKL, NMBU • European Symposium on Applied Thermodynamics 2026 (presentation and abstract only, no paper): HSKL, LOYOLA, NMBU, RPTU, UKRI • ICIAM 2027 (presentation and abstract only, no paper): ITWM, NMBU, RPTU, SIMULA, UKRI • eSSENCE workshop (at least once): DTU, NMBU • SeMatS 2024: International Workshop on Semantic Materials Science (presentation plus paper): GCL, HSKL, ITWM, LIST, NMBU, RPTU, SIMULA, UKRI o M. T. Horsch, D. Romanov, E. Valseth, S. Belouettar, L. E. Córdova López, J. Glutting, M. A. Janssen, P. Klein, A. Linhart, M. A. Seaton, E. D. Sødahl, N. Vizcaino, S. Werth, S. Stephan, I. T. Todorov, S. Chiacchiera & F. Al Machot (2024). Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation. In A. Valdestilhas et al. (editors), Proceedings of the First International Workshop on Semantic Materials Science: 5. CEUR-WS, Aachen. o Presentation: Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation, International Workshop on Semantic Materials Science (SeMatS), Amsterdam, 17 September 2024 • DAO-XAI 2024: International Workshop on Data meets Applied Ontologies in Explainable AI (presentation plus paper): NMBU, RPTU, UKRI o M. T. Horsch, S. Chiacchiera, I. T. Todorov, A. T. Correia, A. Dey, N. A. Konchakova, S. Scholze, S. Stephan, K. Tøndel, A. Sarkar, M. H. Karray, F. Al Machot & B. Schembera (2024). Exploration of core concepts required for midand domain-level ontology development to facilitate explainable-AI-readiness of data and models. In R. Confalonieri et al. (editors), Data meets Ontologies in Explainable AI 2024: 5. CEUR-WS, Aachen. o Presentation: Exploration of core concepts required for midand domain-level ontology development to facilitate explainable-AI-readiness of data and models, IV. International Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago de Compostela, 19 October 2024 • MSE2026: Materials Science and Engineering Congress in Germany. Materials science engineering including batteries. Abstracts and posters: GCL • DCLXVI 2024 Workshop; see papers below. These were also presented as talks. o e.g., Scope of physics-based simulation artefacts, International Workshop on Designing the Conceptual Landscape for a XAIR Validation Infrastructure (DCLXVI), Kaiserslautern, 11 December 2024 • AABC Europe (presentation and abstract only, no paper); contributors: CPI, BIREX • Battery Show Europe; contributors: CPI, BIREX • EuroMat 2025 (presentation and abstract only, no paper): 18th European Congress and Exhibition on Advanced Materials and Processes. Advanced materials and processes including batteries. Abstracts and posters: GCL • IndTech2025 (presentation and abstract only, no paper): Conference on industrial technologies. Industrial technologies including ontologies. Abstracts: GCL. 101137725/BatCAT/WP7/D7.1v2 9 • EMMC 2025 International Workshop (poster and abstract only, no paper): International workshop on materials modelling and digitalisation. Contributors: NMBU, UKRI, GCL • EUnified Battery Data Landscape MOOC within Battery 2030+: DTU • Organization of a battery modelling summer school – 01/09/2025-05/09/2025 at DTU • Workshop of DTU and FULLMAP on the alignment of DMP and data infrastructure with FULLMAP 03.2025 • Joint Ontology Workshops (JOWO) - Schema Alignment and Mapping - AAU, ITWM, LIST, NMBU, UKRI • Digital Age Research Center (D!ARC) -University Klagenfurt, 26th November 2024, V.1.0.7 - Enhancing Battery Health Monitoring in Battery Assembly Digital Twin (BATCAT) (Talk) - AAU 2.2.2 Project website The project website (www.batcat.info) will continue to grow throughout the progress of the project. This improves the access of the general public as well as policy makers to information about the project. KPI: 1-2 items per month 2.2.3 News posts. (Website and LinkedIn) Planned topics for news posts include: General information on battery manufacturing digitalization; simulation methodology; infographics; references to upcoming publications; summary of publications; attendance at conferences and meetings; event promotion. KPI: two posts per month. BatCAT will use LinkedIn to spread information about the project. The channel can also help promote other work from similar projects and organizations that may be of interest to our audience, such as those involved within the Battery2030+ collaboration. 3 Training activities and training programme organization BatCAT disseminates training material and organizes training events, providing background knowledge on key topics and documentation material of newly developed tools to the community. In addition to webinars and other digitized training material, two internal and three openly advertised training events will be held in person, collocated with the consortial meetings. The digitized training materials are transferred into the public domain as OER. Joint training activities are organized with BATTERY 2030+ (incl. BIG-MAP, SENSIBAT), DigiPass CSA, and EMMC (and related projects). A mid-term strategy for uptake of content in university and further education is developed, with particular regard to the gender dimension. 3.1 MOOCs Massive Open Online Courses MOOCs are massive open online course that are open and accessible to everyone online. The European Multiple MOOC Aggregator EMMA is an online platform that hosts a variety of MOOCs on different