• Innovative vanillin yielding from lignin: process modelling and assessment 

  Sánchez, Álvaro Cabeza; Berglihn, Olaf Trygve; Ottaviano, Eloy; Rucker, Theresa; Pettersen, Torbjørn; Wittgens, Bernd; Aliko, Abraham; Galvez, Lucia; Lopez, Maria (Peer reviewed; Journal article, 2024)

  In this work, we present the modelling of a novel process to promote vanillin production from lignin using PODIC®. The model includes the PODIC© production, lignin depolymerisation and final product separation. Furthermore, ...

• From local strategies to global sustainability: A macroeconomic analysis of Extended Producer Responsibility scenarios for the Norwegian consumer textiles sector 

  Silva Simas, Moana; Arega, Meron Assefa (Research report, 2025)

  This report looks at the macroeconomic effects of different scenarios of Extended Producer Responsibility for consumer textiles in Norway. It quantifies not only the effects on the textile consumption, but also the ripple ...

• Catalytic Methane Decomposition for the Simultaneous Production of Hydrogen and Low-Reactivity Biocarbon for the Metallurgic Industry 

  Khalil, Roger Antoine; Jayakumari, Sethulakshmy; Dalaker, Halvor; Wang, Liang; Tetlie, Pål; Skreiberg, Øyvind (Peer reviewed; Journal article, 2025)

  first_pagesettingsOrder Article Reprints Open AccessArticle Catalytic Methane Decomposition for the Simultaneous Production of Hydrogen and Low-Reactivity Biocarbon for the Metallurgic Industry by Roger A. Khalil ...

• Scaling up 3D printed hybrid sorbents towards (cost) effective post-combustion CO2 capture: A multiscale study 

  Krishnamurthy, Shreenath; Roelant, Raf; Blom, Richard; Arstad, Bjørnar; Li, Zuoan; Rombouts, Marleen; Middelkoop, Vesna; Borras, Adolfo Benedito; Naldoni, Lapo (Peer reviewed; Journal article, 2024)

• Accurate space-group prediction from composition 

  Venkatraman, Vishwesh; Almeida Carvalho, Patricia (Peer reviewed; Journal article, 2024)

  Predicting the crystal symmetry of a compound simply from chemical composition has remained challenging. Several machine-learning approaches can be employed, but the predictive value of popular crystallographic databases ...

• Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform 

  Kolokathis, Panagiotis D.; Sidiropoulos, Nikolaos K.; Zouraris, Dimitrios; Varsou, Dimitra-Danai; Mintis, Dimitris G.; Tsoumanis, Andreas; Dondero, Francesco; Exner, Thomas E.; Sarimveis, Haralambos; Chaideftou, Evgenia; Paparella, Martin; Nikiforou, Fotini; Karakoltzidis, Achilleas; Karakitsios, Spyros; Sarigiannis, Dimosthenis; Friis, Jesper; Goldbeck, Gerhard; Winkler, David A.; Peijnenburg, Willie; Serra, Angela; Greco, Dario; Melagraki, Georgia; Lynch, Iseult; Afantitis, Antreas (Peer reviewed; Journal article, 2024)

  Modelling Data (MODA) reporting guidelines have been proposed for common terminology and for recording metadata for physics-based materials modelling and simulations in a CEN Workshop Agreement (CWA 17284:2018). Their ...

• Physicochemical properties of La0.5Ba0.5Co1-xFexO3-δ (0 ≤ x ≤ 1) as positrode for proton ceramic electrochemical cells 

  Wachowski, Sebastian Lech; Szpunar, Iga; Pospiech, Joanna; balcerzak, Daria; Mielewczyk-Gryn, Aleksandra; Nadolska, Malgorzata; Balaguer, M.; Serra, Jose; Vøllestad, Einar; Gazda, Maria; Strandbakke, Ragnar; Norby, Truls (Peer reviewed; Journal article, 2024)

  We report on essential properties of materials in the series La0.5Ba0.5Co1-xFexO3-δ as positrodes for proton ceramic electrochemical cells (PCECs). The unit cell and thermochemical expansion coefficient (TCEC) of these ...

• Effects of Different Doping Strategies on Cubic Li7La3Zr2O12 Solid-State Li-Ion Battery Electrolytes 

  Gaukås, Nikolai Helth; Sunde, Tor Olav Løveng; Arstad, Bjørnar; Reksten, Anita; Stefan, Elena; Thøgersen, Annett; Pedersen, Madeeha Khalid; Norby, Truls; Larring, Yngve (Peer reviewed; Journal article, 2024)

  Solid-state Li-ion conductors based on cubic Li7La3Zr2O12 (LLZO) garnets have received much attention in recent years as potential next-generation battery electrolytes, enabling safer and more energy-dense Li-ion batteries. ...

• Exploring the potential of microbial biomass and microbial extracted oils in tribology: a sustainable frontier for environmentally acceptable lubricants 

  Bernat, Szymon Czeslaw; Di Bartolomeo, Francesca; Armada Nieto, Sergio; Valaker, Emil Andre; Bonturi, Namailla; Koseto, Deni; Haugen, Tone; Kvernbråten, Ann-Karin; Stavarek, Petr; Vecer, Marek; Zelenka, Ladislav (Peer reviewed; Journal article, 2024)

  Mineral oil-derived lubricants, extracted from fossil fuels, account for approximately 90% of the lubricant market. A large proportion of these lubricants end up in the environment through usage, spillage, and disposal, ...

• A novel framework for assessing the fracture toughness through the wall thickness of hydrogen pipelines 

  Nyhus, Bård; Jemblie, Lise; Hagen, Catalina Hoem Musinoi; Hagen, Anette Brocks; Matsunaga, Hisao; Yamabe, Junichiro; Alvaro, Antonio; Olden, Vigdis (Peer reviewed; Journal article, 2024)

  This article presents a novel model for assessing the fracture toughness in hydrogen pipelines. By combining experimental fracture toughness data with recognized hydrogen uptake and diffusion models, the local hydrogen-affected ...

• Materials science and ontologies 

  Friis, Jesper; Goldbeck, Gerhard; Gouttebroze, Sylvain; Bleken, Francesca Lønstad; Ghedini, Emanuele (Peer reviewed, 2024)

  This chapter starts by discussing the challenges in material innovation for manufacturing and the need for multidisciplinary approaches involving actors from many different communities. Interoperability is a key to address ...

• The New European Bauhaus: Beautiful-Sustainable-Together in STARHAUS 

  Bratu, Petruț; Srivastava, Akhilesh; Butean, Alex; Vaccarella, Letizia (Peer reviewed; Journal article, 2024)

  The article ‘The New European Bauhaus: Beauti­ful-Sustainable-Together in STARHAUS’ aims to ex­plore the principles of the New European Bauhaus (NEB) policy and analyze how these principles are implemented across various ...

• Band alignment in Zn(1−x)MgxO:Al/SiOx/Si heterostructures for photovoltaic applications realized by atomic layer deposition: Effects of Al doping and Mg alloying 

  Schifano, Ramon; Gieraltowska, S.; Kurek, J.; Wachnicki, L.; Rehman, U.; Budiakivska, D.; Chusnutdinow, S.; Kopalko, K.; Porro, S.; Jakiela, R.; Minikayev, R.; Witkowski, B.S.; Pawlowski, M.; Jastrzebski, C.; Thøgersen, Annett (Peer reviewed; Journal article, 2024)

  In this work, the impact of Al doping and Mg alloying on the conduction band misalignment (ΔEC) between ZnO and (100) Si with a SiOx interlayer was studied by combining capacitance vs voltage, Hall and x-ray diffraction ...

• Novel Numerical Method for Studying Water Freezing on Surfaces Texturized by Laser 

  Ibrahim, Samih Haj; Wejrzanowski, Tomasz; Karl, Christian W.; Sagvolden, Espen; Karwaszewski, Jakub; Pilz, Monika; Przybyszewski, Bartłomiej; Kozera, Rafał (Peer reviewed; Journal article, 2024)

  Within this study, a methodology for the numerical simulation of droplet freezing, including a micrometer texturized pattern, was developed. The finite volume method was then applied to simulate the behavior of water ...

• Sparse Variational Bayesian Inversion for Subsurface Seismic Imaging 

  Urozayev, Dias; Ait-El-Fquih, Boujemaa; Peter, Daniel (Peer reviewed; Journal article, 2024)

  This article considers the Bayesian inversion of subsurface models from seismic observations, a well-known high-dimensional and ill-posed problem. A reduction of the parameters’ space is considered following a truncated ...

• Silicon kerf loss as a potential anode material for lithium-ion batteries 

  Søiland, Anne Karin; de Meatza, Iratxe; Muguruza, Ane; Xu, Yijiang; Bellmann, Martin Pawel (Peer reviewed; Journal article, 2024)

  In this work, industrially processed silicon kerf loss (abbreviated to silicon kerf) from the photovoltaic industry is assessed as an anode material for the lithium-ion battery (LIB). The study includes both a characterization ...

• Improvement of the 2007–2015 Earthquake Catalog Along the 300 km Long Postglacial Merasjärvi–Stuoragurra Fault Complex in Northern Fennoscandia Using Automatic Event Detection 

  Calle-Gardella, Daniela; Pavez-Orrego, Claudia; Comte, Diana; Halpaap, Felix Julian; Olesen, Odleiv; Espinoza, Alina; Roecker, Steven (Peer reviewed; Journal article, 2024)

  We present an updated and validated seismic catalog for the northern Fennoscandian region, focusing on postglacial faults from the Merasjärvi fault system in the southwest to the Iešjávri fault system in the northeast. ...

• Empirical analysis of bifacial photovoltaic modules in high-latitude regions: Performance insights from a field laboratory in Norway 

  Dimd, Berhane Darsene; Garcia, Alfredo Sanchez; Bellmann, Martin Pawel (Peer reviewed; Journal article, 2024)

  This paper presents a comprehensive empirical analysis of bifacial photovoltaic (bPV) module performance in high-latitude regions, based on data collected from an outdoor field laboratory in Trondheim, Norway. It explores ...

• Macroscopic properties of solid oxide fuel cell electrodes via microstructure-based numerical homogenization 

  Langner, Eric; Semenov, Artem; Makradi, Ahmed; Gouttebroze, Sylvain; Belouettar, Salim; Wallmersperger, Thomas (Peer reviewed; Journal article, 2024)

  Due to climate change, sustainable and energy-efficient power supply is urgently required. To increase the performance of solid oxide fuel cells, the effects of the microstructure of their porous electrodes need to be ...

• Towards semantic standard and process ontology for additive manufacturing 

  Gouttebroze, Sylvain; Friis, Jesper; Hovig, Even Wilberg; Boivie, Klas Magnus (Peer reviewed, 2024)

  Advanced modelling of additive manufacturing (AM) often requires combining models from multiple scales and diverse physical domains. Thus, constructing a modelling workflow that describes the process can be complex. Moreover, ...

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