Recent Submissions

  • Zero-Emission Rail in Czechia: Techno-economic analysis of lines R14, R21, R22, R25, R26, R27, SP14, U28 

    Zenith, Federico; Landmark, Andreas D.; Skeidsvoll, Line (SINTEF Rapport;2024:00230, Research report, 2024)
    This report analyses several representative regional, non-electrified rail lines in Czechia and evaluates different zero-emission technologies for their electrification: hydrogen, batteries, partial and full catenary. ...
  • Kunnskapsgrunnlag for nasjonal RVU 2025-2031 - utvalgsgrunnlag og datainnsamlingsmetoder 

    Svaboe, Gunnhild Beate Antonsen; Meland, Solveig; Tørset, Trude (;N-02/24, Research report, 2024)
    I forbindelse med den pågående anskaffelsesprosessen av RVU 2025 2031, har Statens vegvesen bestilt et notat fra SINTEF som skal brukes som kunnskapsgrunnlag på to tema. Temaene er I) bruk av webpanel vs. Folkeregisteret ...
  • The future of fuels: Uncertainty quantification study of mid-century ammonia and methanol production costs 

    Cloete, Schalk Willem Petrus; Arnaiz del Pozo, Carlos; Cloete, Jan Hendrik; Jiménez Álvaro, Ángel (Peer reviewed; Journal article, 2023)
    Fuels supplied 76% of global final energy consumption in 2021. Although ongoing electrification efforts can significantly reduce this dominant share, fuels will continue to play a leading role in the global energy system. ...
  • Quality assessment of LNP-RNA therapeutics with orthogonal analytical techniques 

    Parot, Jérémie; Mehn, Dora; Jankevics-Jones, Hanna; Markova, Natalia; Carboni, Michele; Olaisen, Camilla; Hoel, Andrea Draget; Sigfúsdóttir, Margrét S.; Meier, Florian; Drexel, Roland; Vella, Gabriella; Mcdonagh, Birgitte Hjelmeland; Hansen, Terkel; Bui, Huong; Klinkenberg, Geir; Visnes, Torkild; Gioria, Sabrina; Urban-Lopez, Patricia; Prina-Mello, Adriele; Borgos, Sven Even F.; Caputo, Fanny; Calzolai, Luigi (Peer reviewed; Journal article, 2024)
    The availability of analytical methods for the characterization of lipid nanoparticles (LNPs) for in-vivo intracellular delivery of nucleic acids is critical for the fast development of innovative RNA therapies. In this ...
  • Hybrid and cognitive digital twins for the process industry 

    Johansen, Stein Tore; Unal, Perin; Albayrak, Özlem; Ikonen, Enso; Linnestad, Kasper J.; Jawahery, Sudi; Srivastava, Akhilesh; Løvfall, Bjørn Tore (Peer reviewed; Journal article, 2023)
    In a Europe that is undergoing digital transformation, the COGNITWIN project is contributing to accelerate the transformation and introduce Industry 4.0 to the European process industries. The opportunities here can be ...
  • Orientation of reduced graphene oxide in composite coatings 

    Thorshaug, Knut; Didriksen, Terje; Jensen, Ingvild Julie Thue; Carvalho, Patricia Almeida; Yang, Juan; Grandcolas, Mathieu; Ferber, Alain Marc C; Andy M., Booth; Ağaç, Özlem; Alagöz, Hüseyin; Erdoğan, Nursev; Kuban, Anil; Belle, Branson Delano (Others, 2024)
    Composite coatings containing reduced graphene oxide (rGO) and 3-(aminopropyl)triethoxysilane functionalised rGO (APTES-rGO) were prepared by sol–gel technology and deposited on Al 2024 T-3. Covalent functionalisation of ...
  • Computational Rhinology: Unraveling Discrepancies between In Silico and In Vivo Nasal Airflow Assessments for Enhanced Clinical Decision Support 

    Johnsen, Sverre Gullikstad (Peer reviewed; Journal article, 2024)
    Computational rhinology is a specialized branch of biomechanics leveraging engineering techniques for mathematical modelling and simulation to complement the medical field of rhinology. Computational rhinology has already ...
  • “SINTEF-TriPOD” in underground design – A demonstration for two projects in Norway 

    Trinh, Quoc Nghia; Grøv, Eivind (Chapter; Peer reviewed, 2024)
    Many rock engineering projects today may face rock mechanics challenges such as particularly complicated profile or excavation plan, located near to existing infrastructure and thus pose a high risk to such structures, and ...
  • Privacy-Aware IoT: State-of-the-Art and Challenges 

    Tokas, Shukun; Erdogan, Gencer; Stølen, Ketil (Chapter, 2023)
    The consumer IoT is now prevalent and creates an enormous amount of fine-grained, detailed information about consumers’ everyday actions, personalities, and preferences. Such detailed information brings new and unique ...
  • Ethical Design for Data Privacy and User Privacy Awareness in the Metaverse 

    Prillard, Ophelia; Boletsis, Costas; Tokas, Shukun (Peer reviewed; Journal article, 2024)
    The significance of the metaverse has been growing rapidly within the online realm. However, several challenges remain, including privacy, ethics, and governance. Extended reality (XR) devices used to access the metaverse ...
  • A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery 

    Benvenuti, Dario; Marrella, Andrea; Rossi, Jacopo; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Perales, Fernando (Peer reviewed; Journal article, 2023)
    State-of-the-art approaches for managing Big Data pipelines assume their anatomy is known by design and expressed through ad-hoc Domain-Specific Languages (DSLs), with insufficient knowledge of the dark data involved in ...
  • Measuring Community Response to Noise—Factors Affecting the Results of Annoyance Surveys 

    Gjestland, Truls Tormodsønn (Peer reviewed; Journal article, 2024)
    Social surveys are conducted to determine how annoyed people are in a certain noise situation. The results are typically presented as exposure–response curves showing the percentage of the area population that are highly ...
  • On the Evolution of Stress and Microstructure in Radio Frequency-Sputtered Lead-Free (Ba,Ca)(Zr,Ti)O3 Thin Films 

    Dahl-Hansen, Runar Plunnecke; Stange, Marit Synnøve Sæverud; Sunde, Tor Olav Løveng; Ræder, Johan Henrik; Rørvik, Per Martin Ljønes (Peer reviewed; Journal article, 2024)
    Thin-film piezoelectrics are widely investigated for actuators and energy harvesters, but there are few alternatives to toxic lead zirconate titanate. Biocompatible Ca- and Zr-modified BaTiO3 (BCZT) is one of the most ...
  • Pseudo-Hamiltonian system identification 

    Holmsen, Sigurd; Eidnes, Sølve; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2024)
    Identifying the underlying dynamics of physical systems can be challenging when only provided with observational data. In this work, we consider systems that can be modelled as first-order ordinary differential equations. ...
  • I Just Want to Help: SMEs Engaging with Cybersecurity Technology 

    Pickering, Brian; Phillips, Stephen C.; Erdogan, Gencer (Chapter, 2023)
    The cybersecurity landscape is particularly challenging for SMEs. On the one hand, they must comply with regulation or face legal sanction. But on the other, they may not have the resource or expertise to ensure regulatory ...
  • Towards Community-Driven Generative AI 

    Dautov, Rustem; Husom, Erik Johannes; Sen, Sagar; Song, Hui (Chapter, 2023)
    While the emerging market of Generative Artificial Intelligence (AI) is increasingly dominated and controlled by the Tech Giants, there is also a growing interest in open-source AI code and models from smaller companies, ...
  • A Need for Privacy-Assistive Technology in Notice and Consent Paradigm in IoT 

    Tokas, Shukun; Erdogan, Gencer (Chapter, 2023)
    A privacy notice is a document/notification that is addressed to consumers, describing how their personal information will be handled. While browsing the Internet, installing an app on smartphone, setting up a smart sensor ...
  • A Framework Addressing Challenges in Cybersecurity Testing of IoT Ecosystems and Components 

    Taylor, Steve; Jaatun, Martin Gilje; McGibney, Alan; Seidl, Robert; Hrynchenko, Pavlo; Prosvirin, Dmytro; Mancilla, Rosella (Chapter, 2024)
    This paper describes challenges within IoT ecosystems from the perspective of cybersecurity testing along with a proposed approach to address them that will be investigated in a recently started Horizon Europe project named ...
  • Customer journeys and process mining – challenges and opportunities 

    Halvorsrud, Ragnhild; Mannhardt, Felix; Prillard, Ophelia; Boletsis, Costas (Peer reviewed; Journal article, 2024)
    Recently, there has been increased awareness about the importance of data derived from actual customer journeys, including the subjective customer experience, in the analysis and evaluation of service quality. In this ...
  • Pseudo-Hamiltonian neural networks for learning partial differential equations 

    Eidnes, Sølve; Lye, Kjetil Olsen (Peer reviewed; Journal article, 2024)
    Pseudo-Hamiltonian neural networks (PHNN) were recently introduced for learning dynamical systems that can be modelled by ordinary differential equations. In this paper, we extend the method to partial differential equations. ...

View more