An overview of 2025!

Another busy year at Goldbeck Consulting during 2025, so here we take a moment to reflect on the highlights from the last 12 months. Our sincere thanks go out to our clients, partners and collaborators, and we look forward to what 2026 will bring!

We successfully completed two EU-funded projects early in the year, OpenModel and nanoMECommons, and we are just over half-way through one of our other projects, BatCAT, for which we just completed the alignment of ontologies with the EMMO.

This year also saw the successful launch of Semantic Materials — the semantic technologies branch of Goldbeck Consulting Ltd. Semantic Materials brings together a team of experts and partner organisations in Europe to support clients in chemicals and materials industries in building science-based, data-centric knowledge management systems.

As part of the Semantic Materials initiative, we also announced a new, working collaborative agreement with Semantic Partners, known for their technology stack expertise. We look forward to continuing work with them throughout 2026.

And, we developed our Semantic Data Management Maturity Assessment Service, a self-assessment tool to give you insight into the key issues of knowledge management.

 

Our work has enabled us to take part in several events, like

Cecam’s Workshop on Interfacial Properties: Open Questions

EMMC 2025 International Workshop

PSDI Materials Community Workshop

FEMS EUROMAT 2025

The Harmonised terminologies and schemas for FAIR data in materials science and related domains WG workshop – “Data Cataloguing for Materials Science and related domains”.

RDA 25th Plenary Meeting

Semantic Materials Workshop 2025

 

Alongside the events attended, there have been numerous presentations and posters:

Managing the complexity of multiscale modelling with semantic technologies by Otello Roscioni.

Knowledge representation of battery manufacturing supported by an integrated ontology system by Gerhard Goldbeck, Silvia Chiacchiera, Martin Petit and Martin T. Horsch.

Materials knowledge and data representation with a European ontology ecosystem by Gerhard Goldbeck

EMMO Ontology: enabling AI-based innovative advanced materials development: the CoBRAIN Knowledge Base for hardmetal thermal spraying coatings by Gerhard Goldbeck and Emanuele Ghedini

EMMO: an ontology based on universal materials science concepts by Gerhard Goldbeck

 

Publications have also been key to our work this year:

Application of the CHADA Workflow (CWA 17815:2025) for High-Speed Nanoindentation Mapping on Battery Cathodes by Daniele Duranti et al.

Training for the new CHADA was published.

Published paper Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform Iseult Lynch, Antreas Afantitis et al. This publication supports the use of Easy-MODA – a free web tool for researchers to document and register complex modelling workflows.

Knowledge organisation and intelligent R&D for chemicals and materials industries – A workshop report by Gerhard Goldbeck, Vikki Cantrill, Ferry Kienberger, and Alexandra Simperler

 

Finally, our semantic technologies work has led to an approved CEN workshop agreement and the release of two ontology versions:

A new CEN Workshop Agreement on Materials characterization – Terminology and structured documentation has been published. This new agreement provides a standardised framework, called the CHAracterisation DAta (CHADA) model that documents materials characterization processes in a structured and consistent manner.

Released Characterisation Methodology Domain Ontology (CHAMEO) v1.0 for characterisation terminology and metadata.

Released the Elementary Multiperspective Material Ontology (EMMO) v1.0 as a standard representational framework for the materials and manufacturing sectors in collaboration by many within the EMMC community.

Overall, a great year and we are looking forward to 2026!

 

 

BatCAT consortium meeting in Newcastle

Last week, all partners from the BatCAT project met at The Catalyst in Newcastle, UK for a consortium meeting that marked the halfway stage of the project. Representatives from the partner organisations reviewed and discussed progress, exchanged ideas, and charted the course for the project’s next steps.

This successful meeting was an opportunity to see how far we have come and reflect on the project’s key achievements so far. In addition to the working sessions, the programme also included a tour of the facilities at the Centre for Process Innovation in Sedgefield — this included a first-hand view of the (robot automated) pilot lines for electrode slurry formulation and the recently installed coating line and cell build and testing line, an open training session entitled “On-line Characterization within digitalized manufacturing”, a walking tour of the area, and time to socialise and network with project colleagues.

We look forward to building on the outcomes of this meeting over the coming months. Here are a few photos of the event.

 

 

 

Elementary Multiperspective Material Ontology paper out now

Elementary Multiperspective Material Ontology: Leveraging
Perspectives via a Showcase of EMMO-Based Domain
and Application Ontologies

 

An article outlining the Elementary Multiperspective Material Ontology (EMMO) has been published in the Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. This article was written by Goldbeck Consulting, along with colleagues from SINTEF, Norway, and the Univeristy of Bologna, Italy, as part of the NanoMECommons and OpenModel EU projects.

This image shows EMMO’s architecture, with its backbone based on mereocausality and its implementation of physics, chemistry
and materials, grounded in current natural science foundations (StandardModel). This figure was taken from Del Nostro, P. et al. Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – KEOD, 135–142 (2024) published under a CC BY-NC-ND 4.0 licence.

The paper outlines the foundations of EMMO and describes its pluralistic (multi-perspective) approach. The paper goes on to describe three application ontologies built on the EMMO: a Battery Testing Ontology, which provides a structured framework for representing knowledge related to battery testing and quality control; a Hyperdimensional Polymer Ontology, which is designed to represent the wide variety of polymeric materials focusing on manufacturing aspects; and a MarketPlace Agent and Expert Ontology, which models experts, their expertise, and the community in the field of Materials Modeling.

Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies

was written by Pierluigi Del Nostro, Gerhard Goldbeck, Ferry Kienberger, Manuel Moertelmaier, Andrea Pozzi, Nawfal Al-Zubaidi-R-Smith, and Daniele Toti.

EMMOpaper

Or to view the paper, click here.

A version of record of this work is available here.

 

Acknowledgement: This work has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreements No 952869 (NanoMECommons) and No 953167 (OpenModel)

News: Battery testing ontology paper

Battery testing ontology

An EMMO-based semantic framework for
representing knowledge in battery testing and battery quality control

 

As the importance of and our reliance on batteries in our day-to-day lives continues to increase, so does the need for advanced battery management systems and test procedures. This need can become a complicated task because batteries are used in many applications, such as electric vehicles, energy storage systems and watches.

Recently, a paper has been published in Computers in Industry that describes a new Battery Testing Ontology (BTO), which has been developed in a collaboration between Goldbeck Consulting and Keysight Technologies as part of the EU NanoMECommons project. BTO provides a comprehensive framework for the representation of data and protocols in battery testing and quality control.

The BTO elucidates concepts specific to battery testing and integrates them with the Characterization Methodology Ontology (CHAMEO) (see image below) and other relevant  materials science ontologies, including the Battery Domain Ontology (BDO) and the Electrochemistry Domain Ontology (EDO). The BTO is fully aligned with the Elementary Multiperspective Material Ontology (EMMO).

 

This image shows the core classes and properties of the Battery Testing Ontology to describe the overall battery testing process displaying the various processes, subclasses, and instances used. This figure was taken from Del Nostro, P. et al. Computers in Industry 164, 104203 (2025) published under a CC BY-NC-ND 4.0 licence.

 

The BTO is able to model a variety of electrical battery cell tests, including impedance spectroscopy (current and voltage over time), self-discharge (current over time), and high-voltage tests (voltage over time). It can also integrate necessary test hardware requirements for a given set of battery cell properties, e.g. the separator layer quality in the high-voltage test.

Within the NanoMECommons project, BTO has been developed on the basis of existing Matlab and JSON files, from which metadata tables were collaboratively developed, and these were subsequently modelled in a CHAMEO and EMMO aligned ontology.

The resulting “semantic layer” on top of existing file systems offers a standardized and extendable way to detail and share testing outcomes across application scenarios.

The work has demonstrated BTO’s potential to enhance battery test design and optimise test accuracy, both of which aid continuous improvements in safety, reliability, and efficiency of battery systems.

The integration of data and concepts across battery testing, materials characterisation and other materials science domains facilitated by the alignment with the EMMO is beneficial because it fosters a collaborative and cohesive interdisciplinary approach to battery research, development and testing.

 

Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control

was written by Pierluigi Del Nostro, Gerhard Goldbeck, Ferry Kienberger, Manuel Moertelmaier, Andrea Pozzi, Nawfal Al-Zubaidi-R-Smith, and Daniele Toti.

Battery-testing-ontology-paper

Or to view the paper, click here.

A version of record of this work is available here.

 

Acknowledgement: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 952869 (NanoMECommons)

 

Battery testing ontology paper

Battery testing ontology

An EMMO-based semantic framework for
representing knowledge in battery testing and battery quality control

 

Goldbeck Consulting, along with partners from the NanoMECommons project and DigiCell, have published an article in Computers in Industry, that describes a new, Battery Testing Ontology (BTO) that provides a comprehensive framework for the representation of knowledge in battery testing and quality control areas that will faciliate innovations and advances in this area.

As the importance of and our reliance on batteries in our day-to-day lives continues to increase, so does the need for advanced battery management systems and test procedures. This is a complicated task because batteries are used in many applications, such as electric vehicles, energy storage systems and watches. Here, the BTO provides a standardized framework to represent battery testing knowledge, which integrates with materials science ontologies to improve testing and quality control.

The BTO is also fully aligned with the Elementary Multiperspective Material Ontology (EMMO) and other related domain ontologies, including the Battery Domain Ontology (BDO), the Electrochemistry Domain Ontology (EDO) and the Characterization Methodology Ontology (CHAMEO), and therefore can help to improve the safety, reliability and efficiency of battery systems.

Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control

was written by Pierluigi Del Nostro, Gerhard Goldbeck, Ferry Kienberger, Manuel Moertelmaier, Andrea Pozzi, Nawfal Al-Zubaidi-R-Smith, and Daniele Toti.

Battery-testing-ontology-paper

Or to view the paper, click here.

A version of record of this work is available here.

 

Acknowledgement: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 952869 (NanoMECommons)

 

SeMats 2024 photo gallery

Here is a gallery of photos from SeMats 2024, Amsterdam, the Netherlands. Photo credits: Gerhard Godlbeck, GCL.

 

Sign up for Gerhard’s webinar hosted by Materials Square

On 30 April at 1–2 pm (BST), Gerhard will be presenting this month’s webinar hosted by Materials Square.

The presentation, entitled “How is materials modeling working for the industry?”, will discuss the role of and challenges for materials modeling in supporting the industry in its quest to respond to complex challenges, such as increased sustainability and digitalization.

Although materials modeling combines well with powerful data-driven techniques, its full potential is not always understood throughout organisations. So, the focus will be on market trends and the need for integration of materials modeling in digitalisation initiatives.

The Materials Square webinar series is free to attend – Register here to reserve your place

Materials Square is a web-based materials simulation platform for research and development managed by Virtual Lab Inc. based in Seoul, South Korea.

 

 

OntoTrans M48 consortium meeting in Freiburg, Germany

The OntoTrans consortium M48 meeting is underway in Freiburg, Germany in which GCL is a partner organisation. The meeting will run 19–20 March 2024.

Fraunhofer IWM, a partner organisation in the project, is our venue for this hybrid event with all project partners coming together to discuss the great progress made during the project and to finalise plans as the project enters its last months.

The OntoTrans project work to provide an ontology-based 0pen translation environment to benefit existing and emerging developments in materials research and manufacturing.

Front aspect of Fraunhofer IWM, Freiburg, Germany

Fraunhofer IWM, Freiburg, Germany.
Credit: Vikki Cantrill, GCL

The front aspect of Fraunhofer IWM, Freiburg, Germany

Fraunhofer IWM, Freiburg, Germany.
Credit: Vikki Cantrill, GCL

Image of people sat in a meeting at Fraunhofer IWM, Freiburg, Germany.

Meeting at Fraunhofer IWM, Freiburg, Germany.
Credit: Vikki Cantrill, GCL

Thank you to our project coordinators, Technische Universitaet Wien, and Fraunhofer IWM for organising the consortium meeting and discussion sessions. Photo credits to Vikki Cantrill.

A photo of a introductory slide from a presentation for a NanoMECommons review meeting event 18 January 2024, Madrid

Harmonising materials modelling and characterisation

Outcomes from two current EU-funded projects that Goldbeck Consulting are involved in — NanoMECommons and OntoTrans — have been presented and discussed with attendees as part of a joint NMBP-35 workshop in Madrid.

The NMBP-35 workshop, combined under the umbrella of the European Materials Characterisation Council (EMCC) and European Materials Modelling Council (EMMC), formed part of a broader, 3-day meeting that incorporated a general assembly and a project review meeting for NanoMECommons.

A photo of Pierluigi Del Nostro and Georgios Konstantopoulos sat hosting an event at the NanoMECommons review meeting 18 January 2024, Madrid.

There was significant interest from the community in improved data and knowledge management, harmonising materials modelling and characterisation.

With numerous projects, both old and new, actively using the characterisation data standard for materials, CHADA, and the template for the standardised description of materials modelling, MODA, we look forward to continued strong collaborations in the context of EMCC and EMMC.

Supported by the NanoMECommons project, we will work together to shape a new CEN Workshop Agreement for updating CHADA and MODA based on recent ontology developments.