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start [2025/05/07 11:01] – [Projects using MuPIF] bpstart [2025/05/07 11:07] (current) bp
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 ===== Related Publications ===== ===== Related Publications =====
   * <wrap hi>New, Open Access:</wrap> **B. Patzák, S. Šulc and V. Šmilauer. Towards digital twins: Design of an entity data model in the MuPIF simulation platform, Advances in Engineering Software, Volume 197, 2024 (https://www.sciencedirect.com/science/article/pii/S0965997824001406).**   * <wrap hi>New, Open Access:</wrap> **B. Patzák, S. Šulc and V. Šmilauer. Towards digital twins: Design of an entity data model in the MuPIF simulation platform, Advances in Engineering Software, Volume 197, 2024 (https://www.sciencedirect.com/science/article/pii/S0965997824001406).**
 +  * <wrap hi>New</wrap> D. Campagna, A. Del Piccolo, K. Kaklamanis, S. Šulc, M. De Bernardi, F. Ellero, S. Kalourazi, K. Reimann, M. Andrea, K. Kordos, M. Selzer, B. Nestler, D. Papageorgiou, A. Kneer, D. Di Stefano, B. Patzák, and E Lidorikis. Streamlining multi-scale materials modeling: The musicode low-code approach for simulation workflows and executable modas. Integrating Materials and Manufacturing Innovation, April 2025 (https://link.springer.com/article/10.1007/s40192-025-00395-5).
   * B. Patzák , S. Šulc , V. Šmilauer. MuPIF: Framework for Digital Twins and Interoperable Simulation Platform for Advanced Material Design. 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2024), 3-7 June 2024, Lisboa, Portugal.   * B. Patzák , S. Šulc , V. Šmilauer. MuPIF: Framework for Digital Twins and Interoperable Simulation Platform for Advanced Material Design. 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2024), 3-7 June 2024, Lisboa, Portugal.
   * S. Belouettar, C. Kavka, B. Patzák, H. Koelman, G. Rauchs, G. Giunta, A. Madeo, S. Pricl, S. et al. Integration of material and process modelling in a business decision support system: Case of COMPOSELECTOR H2020 project. Composite Structures, 204, 778-790, 2018.   * S. Belouettar, C. Kavka, B. Patzák, H. Koelman, G. Rauchs, G. Giunta, A. Madeo, S. Pricl, S. et al. Integration of material and process modelling in a business decision support system: Case of COMPOSELECTOR H2020 project. Composite Structures, 204, 778-790, 2018.
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 ===== Acknowledgements===== ===== Acknowledgements=====
   * The original development of MuPIF has been funded by Grant Agency of the Czech Republic - Project No. P105/10/1402.   * The original development of MuPIF has been funded by Grant Agency of the Czech Republic - Project No. P105/10/1402.
-  * The development has been supported by several EU project: +  * The development has been supported by several EU/Natinal project: 
      * MMP - Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies (FP7 project number 604279),       * MMP - Multiscale Modelling Platform: Smart design of nano-enabled products in green technologies (FP7 project number 604279), 
      * [[http://composelector.net|COMPOSELECTOR: Multi-scale Composite Material Selection Platform with a Seamless Integration of Materials Models and Multidisciplinary Design Framework]], Project no 721105, 2017-2020.      * [[http://composelector.net|COMPOSELECTOR: Multi-scale Composite Material Selection Platform with a Seamless Integration of Materials Models and Multidisciplinary Design Framework]], Project no 721105, 2017-2020.
- +     * [[http://musicode.eu|H2020 MuSICODE project: An experimentally-validated multi-scale materials, process and device modeling & design platform enabling non-expert access to open innovation in the organic and large area electronics industry]], Grant agreement no. 953187, 2021-2024.  
-At present, the MuPIF development is supported by following projects +    * DeeMa project (Deep-Learning and Optimisation Enabled Material Microstructure Design), funded by Technology Agency of the Czech Republic, grant agreement no. TH75020002
-  * [[http://musicode.eu|H2020 MuSICODE project: An experimentally-validated multi-scale materials, process and device modeling & design platform enabling non-expert access to open innovation in the organic and large area electronics industry]], Grant agreement no. 953187, 2021-2024.  +    * INODIN project (Innovative methods for materials diagnostics and monitoring of engineering infrastructure to improve its durability and service life), funded by MŠMT, grant agreement CZ.02.01.01/00/23_020/0008487.
-  * DeeMa project (Deep-Learning and Optimisation Enabled Material Microstructure Design), funded by Technology Agency of the Czech Republic, grant agreement no. TH75020002.+
      
  
start.1746608491.txt.gz · Last modified: 2025/05/07 11:01 by bp