The organisation of the webinar is supported
by the funded EU project EMMC-CSA, Grant Agreement No. 723867.
The webinar is based on the White Paper ” A guide to find the right business model for materials modelling software”, in preparation.
This facilitation workshop invites persons who are thinking about offering their software to the market and aims to provide some thought-provoking impulses to get them started.
EMMC kindly invites Materials Model Software or Scienitific Software Developers and Users to attend the webinar.
In case you have any questions regarding the webinar please don’t hesitate to contact Dr. Simperler. (email: alex@goldbeck-consulting.com)
For registration please use the online booking tool on the event page!
The organisation of the webinar is supported
by the funded EU project EMMC-CSA, Grant Agreement No. 723867.
Thus, the participation in the EMMC Webinar is free.
EMMC and UCL present the Case Study
Interview of Dr Martijn Zwijnenburg, University College London
Writers: Alexandra Simperler and Gerhard Goldbeck
The case is based on the paper “Mapping binary copolymer property space with neural networks”
L. Wilbraham, R.S. Sprick, K.E. Jelfs, M.A. Zwijnenburg, Chem. Sci., 2019,10, 4973-4984. DOI:
10.1039/C8SC05710A
This work has received funding via the EMMC-CSA project
from the European Union‘s Horizon 2020 research and innovation programme
under Grant Agreement No 723867
The development of the European Materials & Modelling Ontology (EMMO) has gained a lot of interest among the different stakeholders of EMMC,
due to its great potential as an enabler for connecting scientific data and models in a semantic way. However, in order for people to start using it, tools and examples
from real user cases are essential.
The objective of this document is to provide tools for working with EMMO and show a real user case on how EMMO may be used to enable vertical and horizontal
interoperability and thereby enable people to start using EMMO.
This documentation contains three parts; updates of EMMO, tools for working with it, and a user case application demonstrating how EMMO can be used to achieve
vertical and horizontal interoperability.
Authors:
Jesper Friis
Francesca Lønstad Bleken
Afaf Saai
Bjørn Tore Løvfall
(all SINTEF)
The preparation of this documentation has received funding via the EMMC-CSA Project
from the European Union’s Horizon 2020 Research and Innovation Programme
under Grant Agreement No 72386
Authors:
Jesper Friis and Bjørn Tore Løvfall (SINTEF), Emanuele Ghedini (UNIBO),
Gerhard Goldbeck (GCL),
Georg Schmitz (ACCESS),
Adham Hashibon (FRAUNHOFER IWM)
The preparation of this documentation has received funding via the EMMC-CSA Project
from the European Union’s Horizon 2020 Research and Innovation Programme
under Grant Agreement No 72386
Several storyboards have been developed for the video series on the economic training for Translators, Maturity model, the Business Decision Support System (BDSS)
and EMMC Case Studies refering to Task “Enhance the visibility of materials modelling possibilities to industry, in particular SMEs” of the EMMC-CSA working programme.
The major outcome is a series of several videos, related to economic training concepts for Translators, to the Maturity model and BDSS
and a number of Case Studies, available on https://emmc.info/emmc-case-studies/.
All the videos are publicly available on the EMMC YouTube channel
https://www.youtube.com/c/european-materials-modelling-council.
Authors
Luca Bergamesco (POLITO)
Alexandra Simperler (GCL)
Davide Di Stefano ( ANSYS-GRANTA )
The preparation of this report has received funding via the EMMC-CSA Project
from the European Union’s Horizon 2020 Research and Innovation Programme
under Grant Agreement No 72386
This event has received funding via the EMMC-CSA Project
from the European Union’s Horizon 2020
Research and Innovation Programme under Grant Agreement No 72386
EMMC and MCL (Materials Center Leoben) present the CASE STUDY
Interview of Dr Lorenz Romaner, Materials Center Leoben Forschung GmbH (MCL)
Writers: Alexandra Simperler and Gerhard Goldbeck (Goldbeck Consulting)
The case study is based on projects were MCL provided the modelling expertise and two Austrian companies, Plansee and Voestalpine AG, were involved as industrial partners.
Plansee has expertise in refractory alloys and composite materials and Voestalpine AG is a steel-based technology and capital goods provider.
This work has received funding via the EMMC-CSA project
from the European Union‘s Horizon 2020 research and innovation programme
under Grant Agreement No 723867
EMMC and ICAMS present the CASE STUDY
Interview of Dr Yury Lysogorskiy, ICAMS, Ruhr-Universität Bochum
Writers: Alexandra Simperler and Gerhard Goldbeck (Goldbeck Consulting)
The case is based on Dr Lysogorskiy’s papers “Transferability of interatomic potentials for molybdenum and silicon”, Y. Lysogorskiy, T. Hammerschmidt, J. Janssen, J. Neugebauer and R. Drautz; Modelling Simul. Mater. Sci. Eng. 27 (2019) 025007 (DOI: https://doi.org/10.1088/1361-651X/aafd13)
and “pyiron: An integrated development environment for computational materials science”, J. Janssen, S. Surendralal, Y. Lysogorskiy,
M. Todorova, T. Hickel, R. Drautz, and J. Neugebauer; Computational Materials Science 163 (2019) 24-36 (DOI: https://doi.org/10.1016/j.commatsci.2018.07.043)
This work has received funding via the EMMC-CSA project
from the European Union‘s Horizon 2020 research and innovation programme
under Grant Agreement No 723867
“Training material for standards in software development and where to find it”
Authors
Kurt Stokbro (SYNOPSYS)
Gerhard Goldbeck, Alexandra Simperler (both GCL)
Erich Wimmer, Volker Eyert (both MDS)
The preparation of this documentation has received funding via the EMMC-CSA Project
from the European Union’s Horizon 2020 Research and Innovation Programme
under Grant Agreement No 72386
EMMC and Kim Jelfs (Imperial College London) present the CASE STUDY
Interview of Kim Jelfs, Imperial College London
Writers: Alexandra Simperler and Gerhard Goldbeck (Goldbeck Consulting)
The case describes how they use machine learning to predict shape persistence and cavity size in porous organic cages.
Therefore, they created the largest computational database of these molecules comprising 63,472 cages, ….
This work has received funding via the EMMC-CSA project
from the European Union‘s Horizon 2020 research and innovation programme
under Grant Agreement No 723867
