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Jesper Friis

Senior Research Scientist

Jesper Friis

Senior Research Scientist

Jesper Friis
Phone: 982 30 458
Department: Materials and Nanotechnology
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1769865

A multiscale modelling framework, especially for corrosion modelling, requires not only robust computational tools but also an efficient datacentric architecture for handling information exchange at different modelling scales. Different computational solvers require and produce data in different pro...

Authors Mir Zahid M. Friis Jesper Hagelien Thomas Fjæstad Svenum Ingeborg-Helene Ringdalen Inga Gudem Konchakova Natalia Mikhail Zheludkevich Hoche Daniel
Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1765133

First-principles virtual tensile and shear test calculations have been performed to Al(0 03 ¯)//-AlFeSi(0 0 1) and Al(01 ¯ 4)//Fe 4 Al 13 (1 01 ¯) interfaces by the ab initio pseudo potential density functional theory method. Work of separation, ultimate tensile strength and shear str...

Authors Khalid Muhammad Zeeshan Friis Jesper Ninive Per Harald Marthinsen Knut Strandlie Are
Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1791764

An introduction to the European Materials & Modelling Ontology (EMMO) will be given. It provides a framework to integrate materials data and models into a coherent, science-based knowledge system, enabling interoperability and enhanced decision making based on a combination of data (statistics) ...

Authors Friis Jesper Ghedini Emanuele Goldbeck Gerhard Hashibon Adham Schmitz Georg J. Bleken Francesca Lønstad Khalid Muhammad Zeeshan Saai Afaf Løvfall Bjørn Tore
Year 2019
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1791759

An introduction to the European Materials & Modelling Ontology (EMMO) will be given. It provides a framework to integrate materials data and models into a coherent, science-based knowledge system, enabling interoperability and enhanced decision making based on a combination of data (statistics) ...

Authors Goldbeck Gerhard Friis Jesper
Year 2019
Type Conference lecture and academic presentation