Blar i Publikasjoner fra CRIStin - NTNU på tittel

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    • Computational study of the dissolution of cellulose into single chains: the role of the solvent and agitation 

      Bering, Eivind; Torstensen, Jonathan Økland; Lervik, Anders; de Wijn, Astrid S. (Journal article; Peer reviewed, 2022)
      We investigate the dissolution mechanism of cellulose using molecular dynamics simulations in both water and a mixture solvent consisting of water with Na+, OH− and urea. As a first computational study of its kind, we apply ...

    • A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver 

      Imani Aria, Arash; Manik, Tomas; Holmedal, Bjørn; Marthinsen, Knut (Journal article, 2023)
      A computational framework is presented, capable of calculating virtual loads using the spectral solver in the DAMASK software for crystal plasticity simulations in desired stress directions. Calculations are used for the ...

    • Computational techniques for virtual reconstruction of fragmented archaeological textiles 

      Gigilashvili, Davit; Lukesova, Hana; Gulbrandsen, Casper Fabian; Harijan, Akash; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2023)
      Archaeological artifacts play important role in understanding the past developments of the humanity. However, the artifacts are often highly fragmented and degraded, with many details and parts missing due to centuries’ ...

    • Computational thinking as part of compulsory education: How is it represented in Swedish and Norwegian curricula? 

      Bungum, Berit; Vinnervik, Peter (Journal article; Peer reviewed, 2022)

    • Computational thinking education: Issues and challenges 

      Angeli, Charoula; Giannakos, Michail (Journal article; Peer reviewed, 2019)
      Computational Thinking is a term applied to describe the increasing attention on students' knowledge development about designing computational solutions to problems, algorithmic thinking, and coding. It focuses on skills ...

    • Computational tools for exploring peptide-membrane interactions in gram-positive bacteria 

      Kumar, Shreya; Balaya, Rex Devasahayam Arokia; Kanekar, Saptami; Raju, Rajesh; Prasad, Thottethodi Subrahmanya; Kandasamy, Richard Kumaran (Peer reviewed; Journal article, 2023)
      The vital cellular functions in Gram-positive bacteria are controlled by signaling molecules known as quorum sensing peptides (QSPs), considered promising therapeutic interventions for bacterial infections. In the bacterial ...

    • Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation 

      Osterloff, Jonas; Nilssen, Ingunn; Eide, Ingvar; Figueiredo, Marcia AO; Tamega, Frederico TS; Nattkemper, Tim W. (Journal article; Peer reviewed, 2016)
      This paper presents a machine learning based approach for analyses of photos collected from laboratory experiments conducted to assess the potential impact of water-based drill cuttings on deep-water rhodolith-forming ...

    • Computational Workload in Biometric Identification Systems: An Overview 

      Drozdowski, Pawel; Rathgeb, Christian; Busch, Christoph (Journal article; Peer reviewed, 2019)
      Computational workload is one of the key challenges in biometric identification systems. The na{\"i}ve retrieval method based on an exhaustive search becomes impractical with the growth of the number of the enrolled data ...

    • Computationally Analyzing the ISO 9798-2.4 Authentication Protocol 

      Hale, Britta J.; Boyd, Colin Alexander (Chapter, 2014)
      We provide a computational analysis of the ISO 9798–2.4 mutual authentication standard protocol in the model of Bellare and Rogaway. In contrast to typical analyses of standardized protocols, we include the optional data ...

    • Computationally efficient coarse-graining XDEM/CFD modeling of fixed-bed combustion of biomass 

      Zhang, Jingyuan; Li, Tian; Ström, Henrik; Løvås, Terese (Peer reviewed; Journal article, 2022)
      In the multi-scale modeling of a dense particle system, the particle phase and the gas phase can be modeled on vastly different scales. The coupling between the two models has a critical influence on the predictions obtained ...

    • Computationally efficient familywise error rate control in genome‐wide association studies using score tests for generalized linear models 

      Halle, Kari Krizak; Bakke, Øyvind; Djurovic, Srdjan; Bye, Anja; Ryeng, Einar; Wisløff, Ulrik; Andreassen, Ole Andreas; Langaas, Mette (Peer reviewed; Journal article, 2020)
      In genetic association studies, detecting phenotype–genotype association is a primary goal. We assume that the relationship between the data—phenotype, genetic markers and environmental covariates—can be modeled by a ...

    • A Computationally Efficient Formulation of the Governing Equations for Unit Operation Design 

      Carranza Abaid, Andres; Jakobsen, Jana Poplsteinova (Peer reviewed; Journal article, 2021)
      A computationally-efficient numerical method that uses a Pseudo-Eulerian formulation (PEF) for the design calculation of unit operations is presented and validated. This method is applicable to any unit operation that can ...

    • A computationally efficient method for hybrid EEG-fNIRS BCI based on the Pearson correlation 

      Hasan, Mustafa A. H.; Khan, Muhammad U.; Mishra, Deepti (Peer reviewed; Journal article, 2020)
      A hybrid brain computer interface (BCI) system considered here is a combination of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). EEG-fNIRS signals are simultaneously recorded to achieve ...

    • A computationally efficient method for identification of steady state in time series data from ship monitoring 

      Dalheim, Øyvind Øksnes; Steen, Sverre (Peer reviewed; Journal article, 2020)
      An increasing number of ships are being equipped with sensors and devices for monitoring of operational behavior, and the amount and access to operational data is gradually increasing. Due to various reasons described in ...

    • Computationally-Efficient Structural Health Monitoring using Graph Signal Processing 

      Cheema, Muhammad Asaad; Sarwar, Muhammad Zohaib; Gogineni, Vinay Chakravarthi; Cantero Lauer, Daniel; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)
      Structural health monitoring (SHM) of bridges is crucial for ensuring safety and long-term durability, however, standard damage-detection algorithms are computationally intensive. This article proposes a computationally ...

    • Computed Tomography Lesions and Their Association With Global Outcome in Young People With Mild Traumatic Brain Injury 

      Riemann, Lennart; Mikolic, Ana; Maas, Andrew; Unterberg, Andreas; Younsi, Alexander; Åkerlund, Cecilia; Amrein, Krisztina; Andelic, Nada; K Frisvold, Shirin; Andreassen, Lasse; Anke, Audny Gabriele Wagner; Antoni, Anna; Audibert, Gérard; Azouvi, Philippe; Azzolini, Maria Luisa; Bartels, Ronald; Barzó, Pál; Beauvais, Romuald; Beer, Ronny; Bellander, Bo-Michael; Belli, Antonio; Berardino, Maurizio; Benali, Habib; Beretta, Luigi; Blaabjerg, Morten; Bragge, Peter; Brazinova, Alexandra; Brooker, Joanne; Brinck, Vibeke; Brorsson, Camilla; Buki, Andras; Bullinger, Monika; Cabeleira, Manuel; Caccioppola, Alessio; Calappi, Emiliana; Calvi, Maria Rosa; Cameron, Peter; Carbayo Lozano, Guillermo; Carbonara, Marco; Cavallo, Simona; Chevallard, Giorgio; Chieregato, Arturo; Citerio, Giuseppe; Clusmann, Hans; Coburn, Mark; Coles, Jonathan; Cooper, Jamie D.; Correia, Marta; Čović, Amra; Curry, Nicola; Czosnyka, Marek; Czeiter, Endre; Dahyot-Fizelier, Claire; Dark, Paul; Dawes, Helen; De Keyser, Veronique; Degos, Vincent; Della Corte, Francesco; den Boogert, Hugo; Depreitere, Bart; Đilvesi, Đula; Dixit, Abhishek; Helseth, Eirik; Røe, Cecilie; Skandsen, Toril; Røise, Olav; Vik, Anne (Peer reviewed; Journal article, 2023)
      Mild traumatic brain injury (mTBI) can be accompanied by structural damage to the brain. Here, we investigated how the presence of intracranial traumatic computed tomography (CT) pathologies relates to the global functional ...

    • Computed X-ray Tomography Study of Carbonate Precipitation in Large Portland Cement Pores 

      Chavez Panduro, Elvia Anabela; Torsæter, Malin; Gawel, Kamila; Bjørge, Ruben; Gibaud, Alain; Bonnin, Anne; Schlepütz, Christian M.; Breiby, Dag Werner (Journal article; Peer reviewed, 2019)
      Cement degradation caused by CO2 exposure is an increasingly important environmental challenge that must be understood, for example, if former oil reservoirs are to be used for CO2 storage. When exposed to CO2-saturated ...

    • Computer coding and choreography: Contrasting experiences of learning about collaboration in engineering and creative arts 

      Rowe, Nicholas; Martin, Rosemary Kate; Giacaman, Nasser (Peer reviewed; Journal article, 2020)
      This article argues that how collaboration is taught can have a significant impact on the ways in which collaboration is experienced, understood and valued. In doing so, the study draws attention to performing arts ...

    • Computer Modeling Of Nonlinear Flutter Of Viscoelastic Based Plate As A Sustainable Mechanical Engineering Approach In Aircraft Structures’ Design 

      Verlan, Andriy; Khudayarov, Bakhtiyar; Verlan, Anatolii; Fomin, Oleksandr; Polozhaenko, Sergii (Chapter, 2021)
      The article is dedicated to computer modeling of a viscoelastic based plate flutter in design of aeronautical structures in sustainable mechanical engineering. The mathematical model of the flutter problem for viscoelastic ...

    • Computer modelling of drill string of an oilwell drilling rig 

      Verlan, Andriy; Fedorchuk, V.A. (Chapter, 2018)
      The article considers the questions of construction and computer realization of the mathematical model of drill string of a drilling rig. An approximation model is proposed in the form of systems of ordinary differential ...