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7-8 November 2017, St John’s Innovation Centre, Cambridge
Materials Modelling has become an essential part of research, development, engineering and upscaling of advanced materials in a wide range of industry sectors. Its success is based on a number of breakthrough and by now well established models and software tools originating from different scientific and engineering communities. Examples are Density Functional Theory, Phase Field Models and of course continuum mechanics and fluid dynamics based model. The impact of utilising these approaches has been widely documented in case studies and impact assessments. For many industrial applications, a combination of methods must be applied hence requiring more and more integration and interoperability, both in terms of software but also scientific aspects of the workflows (i.e. how the outputs from one model connect to the physics quantities of another model). Data required for and produced by simulations need to be managed and stored with appropriate metadata in order to enable their re-use and data analytics. Integration of materials modelling into the R&D enterprise in the age of Industry 4.0 requires the whole field to step back and work together on interoperability solutions that go much beyond stringing together some workflows with syntactically based scripting. It calls for interoperability solutions that are based in semantic approaches with metadata backed up by an ontology framework.
Purpose and objective of the workshop
The purpose is to discuss recent developments in interoperability approaches in materials modelling, following on from discussions at the First EMMC International Workshop (Notes from that event will be available to workshop delegates). In particular, the workshop will focus on semantic interoperability based on a future European Materials Modelling Ontology (EMMO). Definitions of some of the terms in such an ontology are the subject of a CEN Workshop Agreement.
Communication standards between models and databases will also be discussed, including initial requirements for cataloguing simulations in data repositories, and general requirements for Translation and Training components with a view to integration into future Materials Modelling Marketplaces.
EMMC is seeking support of the wider materials modelling community for the development of a European Materials Modelling Ontology as a basis for interoperability and domain specific metadata.
Representatives from the academic and industrial materials modelling community covering different types of models and applications, database repository owners and project representatives. The workshop is limited to 50-60 experts.
7th November 2017
10:00 – 10:30 Arrival, Refreshments
10:30 -10:40 Introduction to the Workshop
Gerhard Goldbeck (Goldbeck Consulting Ltd) and Adham Hashibon (Fraunhofer IWM)
Session 1: Status and requirements for interoperability
10:40 -11:00 Data and modelling integration at Dow
Hein Koelman (Dow Chemical)
11:00- 11:20 Materials Modelling and Interoperability – Siemens PLM Vision
Stijn Donders (Siemens PLM)
11:20 – 11:40 Ontology requirements for software realisation
Wolfgang Wenzel (KIT and Nanomatch)
11:40 – 12:00 Augmenting measurements data with physico-chemical simulation for a non-road machine application
Amit Bhave (CMCL Innovations)
12:00 – 12:30 Interoperability approaches and implementations in current EU Projects
Borek Patzak (Czech Technical University; CompoSelector Project), Adham Hashibon (Fraunhofer IWM, FORCE Project), Jesper Friis (SINTEF, NanoSim Project)
12:30 – 13:30 Lunch
Session 2: Ontologies for interoperability
13:30 – 14:00 Introduction to the Industry Ontologies Foundry
Barry Smith (University of Buffalo)
14:00 – 14:45 Big Data Transforms Into Big Analysis: The Convergence of Formal Semantics & Data Science in Life Sciences
Eric Little (Osthus)
14:45 – 15:15 Ontologies and rule-based knowledge in Knowledge-Driven Optimization
Piotr Maciol (AGH University of Science and Technology, Krakow)
15:15 – 15:45 Break
15:45 – 16:15 European Materials Modelling Ontology (EMMO)
Emanuele Ghedini (University of Bologna), Adham Hashibon (Fraunhofer IWM), Jesper Friis (SINTEF), Gerhard Goldbeck (GCL), Georg Schmitz (ACCESS), Anne de Baas (EC DG RTD NMBP)
16:15 – 17:15 Interoperability Discussion and Action planning
Moderator: Gerhard Goldbeck
19:30 – 21:30 Dinner at Hilton Hotel Cambridge
8th November 2017
Session 3: Data and documentation
09:00 – 09:30 Materials Modelling Data and Documentation: terminology, classification and ontology towards Digital Single Market
Anne de Baas (EC DG RTD NMBP)
09:30 – 10:00 Simulation documentation with Materials Modelling data tables (MODA): portal demo
Adham Hashibon (Fraunhofer IWM)
10:00 – 10:30 NOMAD Metadata for all
Fawzi Mohamed (Fritz-Haber-Institut and NOMAD Project)
10:30 – 11:00 Coffee break
Session 4: Materials Modelling Marketplaces
11:00 – 11:30 Workflows and data integration, vision and sustainability
Nicola Marzari (EPFL)
11:30 – 12:00 On system thinking, knowledge synthesis and data-driven analytics
Katya Vladislavleva (DataStories Int.)
12:00 – 12:30 European Materials Modelling Marketplaces
Welchy Leite Cavalcanti (Fraunhofer IFAM, VIMMP Project), Adham Hashibon (Fraunhofer IWM, MarketPlace Project), Gerhard Goldbeck (GCL), Nicola Marzari (EPFL, MaterialsCloud), Sergio Lopez Lopez (SCM, Fortissimo Project)
12:30 – 13:30 Lunch
13:30 – 14:00 Connecting to infrastructure
Jörg Meyer (Steinbuch Centre for Computing, KIT)
14:00 – 14:30 Building a materials modeling marketplace: challenges for SME’s and research organisations
Didrik Pinte (Enthought)
14:30- 15:15 Panel on Materials Modelling Marketplaces including ontology, repository, workflow management, curation and sustainability
David Cebon (Granta Design), Eric Little, Katya Vladislavleva, Welchy Leite Cavalcanti, Nicola Marzari, Adham Hashibon;
Chair: Anne de Baas
15:15 – 16:00 Marketplaces Discussion and Action planning
Moderator: Adham Hashibon
16:00 – 16:15 Closing remarks
Gerhard Goldbeck, Adham Hashibon, Anne de Baas
Organisation and contact
The takeover of engineering and materials modelling software company MSC Software (“a global leader in helping product manufacturers to advance their engineering methods with simulation software and services”) by Hexagon AB (“a leading metrology and manufacturing solution specialist”) was announced in early February. It is an interesting development for a number of reasons. It is a move that looks very much aligned with realising the opportunities often associated with the terms Industry 4.0 and Smart Manufacturing. As the president and CEO of Hexagon, Ola Rollén, pronounced: “MSC represents a game-changer in our mission to deliver actionable manufacturing intelligence, taking us another step closer to realizing our smart connected factory vision in discrete manufacturing industries such as automotive and aerospace. We can now leverage the data our MI division is generating to improve design choices and processes upstream in the workflow.
It also clearly shows that modelling and simulation, from the part down to the material, has a big part to play in delivering on the promises of smart manufacturing. Finally, it looks lie European corporations in particular are ready to invest in this sector. The acquisition of MSC Software by Hexagon AB for $834 m follows that of the US company Accelrys (now Biovia) by the French Dassault Systemes for $750m and major acquisitions by Siemens PLM including that of CD-adapco for $970m and of Mentor Graphics $4.5b (“a leader in electronic design automation software”). It demonstrates Europe’s strength and vision for the “digital industrial enterprise” (Siemens), i.e. informatics, modelling and simulation spanning research, development and manufacturing across the discrete and processing industries.
We have published a report which was prepared thanks to support by Durham University. It provides an overview of the scientific software industry, with a particular emphasis on materials modelling and discussed the following topics:
- The structure of the software industry.
- Requirements for software development: in-house and through collaboration.
- Routes to market for scientific software, e.g. via software houses or direct licensing into specific industries.
- Commercialisation requirements: standards, IP ownership, licensing schemes.
- Warranty and liability issues.