Academic literature on the topic 'Multiphysics model'

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Journal articles on the topic "Multiphysics model"

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Poletz, N., A. François, and K. Hillewaert. "Multiphysics welding simulation model." International Journal of Material Forming 1, S1 (2008): 1047–50. http://dx.doi.org/10.1007/s12289-008-0198-6.

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OCILKA, Matúš, and Dobroslav KOVÁČ. "SIMULATION MODEL OF INDUCTION HEATING IN COMSOL MULTIPHYSICS." Acta Electrotechnica et Informatica 15, no. 1 (2015): 29–33. http://dx.doi.org/10.15546/aeei-2015-0005.

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Liu, Zhen, Bin Zhang, and Xiong Bill Yu. "Multiphysics for Early Stage Cement Hydration: Theoretical Framework." Advanced Materials Research 255-260 (May 2011): 4247–50. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.4247.

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The chemical hydration involves complex multiphysical processes including mass and energy transfer, chemical reactions and consequently stress development and shrinkage. This paper proposed a multiphysics numerical model to predict the kinetics cement paste. The chemical reaction theory, heat transfer theory, diffusion theory, and continuum mechanics were coupled in the theoretical model. A comprehensive theoretical model is established with partial different equation system, auxiliary functions, and typical boundary conditions.
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Yan, Shuxia, Yaoqian Zhang, Wenyuan Liu, Gaohua Liu, and Weiguang Shi. "A Novel Electromagnetic Centric Multiphysics Parametric Modeling Approach Using Neuro-Space Mapping for Microwave Passive Components." Photonics 9, no. 12 (2022): 960. http://dx.doi.org/10.3390/photonics9120960.

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An advanced Neuro-space mapping (Neuro-SM) multiphysics parametric modeling approach for microwave passive components is proposed in this paper. The electromagnetic (EM) domain model, which represents the EM responses with respect to geometrical parameters, is regarded as a coarse model. The multiphysics domain model, which represents the multiphysics responses with respect to both geometrical parameters and multiphysics parameters, is regarded as a fine model. The proposed model is constructed by the input mapping, the output mapping and the coarse model. The input mapping is used to map mult
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Lin, Yihao, Yang Qin, Bilin Gong, et al. "Analysis of the Parallel Seam Welding Process by Developing a Directly Coupled Multiphysics Simulation Model." Processes 12, no. 1 (2023): 78. http://dx.doi.org/10.3390/pr12010078.

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Parallel seam welding (PSW) is the most commonly employed encapsulation technology to ensure hermetic sealing and to safeguard sensitive electronic components. However, the PSW process is complicated by the presence of multiphysical phenomena and nonlinear contact problems, making the analysis of the dynamics of the PSW process highly challenging. This paper proposes a multiphysics simulation model based on direct coupling, enabling the concurrent coupling of the electric field, temperature field, and structural field to facilitate the analysis of the thermal and electrical dynamics within the
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Szczerba, Dominik, Bryn A. Lloyd, Michael Bajka, and Gabor Szekely. "A Multiphysics Model of Myoma Growth." International Journal for Multiscale Computational Engineering 7, no. 1 (2009): 17–27. http://dx.doi.org/10.1615/intjmultcompeng.v7.i1.40.

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Shengyi Liu and R. A. Dougal. "Dynamic multiphysics model for solar array." IEEE Transactions on Energy Conversion 17, no. 2 (2002): 285–94. http://dx.doi.org/10.1109/tec.2002.1009482.

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Wang, Tian, Ping Xi, and Bifu Hu. "Multiphysics Modeling of Gas Turbine Based on CADSS Technology." Shock and Vibration 2020 (October 19, 2020): 1–21. http://dx.doi.org/10.1155/2020/8816453.

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Product modeling has been applied in product engineering with success for geometric representation. With the application of multidisciplinary analysis, application-driven models need specific knowledge and time-consuming adjustment work based on the geometric model. This paper proposes a novel modeling technology named computer-aided design-supporting-simulation (CADSS) to generate multiphysics domain models to support multidisciplinary design optimization processes. Multiphysics model representation was analyzed to verify gaps among different domain models’ parameters. Therefore, multiphysics
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Wang, Wei, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, and Shaowei Ma. "Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application." Advances in Civil Engineering 2018 (September 12, 2018): 1–9. http://dx.doi.org/10.1155/2018/3067120.

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Aiming at the deficiency of the conventional multiphysics coupling model, the deterioration of strength parameters was considered by defining elastoplastic damage variables, and the heterogeneity of strength parameters was expressed by the Weibull distribution function. In addition, the relation between effective stress and the anisotropic permeability matrix was established, and the blast was transformed into a load boundary condition. On this basis, an improved multiphysics coupling model that considered damage and disturbance was constructed, while a corresponding finite element calculation
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Fan, Zhongcai, Ruiyu Zhang, Yuqing Wang, and Yabin Wang. "Performance Prediction of Solid Oxide Fuel Cells Based on a Neutral Network Model." ECS Meeting Abstracts MA2023-01, no. 54 (2023): 81. http://dx.doi.org/10.1149/ma2023-015481mtgabs.

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Predicting various parameters in a fast and accurate way plays an important role for the development of high-temperature sealed reactors such as the solid oxide fuel cells (SOFCs). However, the analysis of SOFC performance parameters mainly focuses on the development of multiphysics models, which is complicated and slow, causing inefficiency in the prediction of key parameters. In our study, a neural network prediction model of SOFCs was developed in combination with the deep learning method. The neural network model was trained by using the results from a multiphysics model validated by exper
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Dissertations / Theses on the topic "Multiphysics model"

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Chen, Jie. "Modelling of Laser Welding of Aluminium using COMSOL Multiphysics." Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284448.

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This thesis presents a modelling approach of laser welding process of aluminium alloy from the thermo-mechanical point of view to evaluate the occurrence of hot cracking based on simulation results and relevant criteria. The model was created stepwise in COMSOL Multiphysics, starting with the thermal model where heat conduction of solid and liquid phase was computed. Then the CFD model was created by involving the driving forces of liquid motion in the weld pool, i.e. natural convection and Marangoni effect. Lastly, the temperature profile calculated by the CFD model was loaded into the mechan
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Wilow, Viktor. "Electromagnetical model of an induction motor in COMSOL Multiphysics." Thesis, KTH, Elektrisk energiomvandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-160703.

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Ansys, Flux or COMSOL are examples of software-tools that can be used to study magnetic noise, caused by magnetic forces in the air-gap, in induction motors. The project team wanted to use COMSOL in this thesis. The electromagnetical domain needs to be coupled to the mechanical domain to complete the study. The air-gap forces, calculated in the electromagnetical model using the Rotating Machinery module, can be exported to the Acoustic-Solid Interaction module in COMSOL to enable the vibro-acoustic analysis. An electromagnetical model of an induction motor is developed in two-dimensions in the
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Nie, Yihan. "A multiphysics model for carbon nanotube based nanoelectromechanical contact switch." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122904/1/Yihan_Nie_Thesis.pdf.

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This research builds up a multiphysics molecular model for nano electromechanical contact switch in a gaseous environment. To predict the device dynamic properties precisely, multiple methods have been incorporated, including: grand canonical Monte Carlo method for adsorption phenomenon, atomistic moment theory for dynamic electric field, and molecular dynamic simulation for carbon nanotube deformation. Using such a model, the charge distribution has been characterized; the adsorption influence on the frequency change and damping ratio has been investigated. The model has a great potential in
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Pierson, Kristopher C. "Multiphysics Cavitation Model with Application to the Dynamic Behavior of Journal Bearings." University of Akron / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1555440702757939.

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Mishra, Sudib Kumar. "DEVELOPMENT OF A MULTISCALE AND MULTIPHYSICS SIMULATION FRAMEWORK FOR REACTION-DIFFUSION-CONVECTION PROBLEMS." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/194088.

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Reaction-diffusion-convection (R-D-C) problems are governed by wide spectrum of spatio-temporal scales associated with ranges of physical and chemical processes. Such Problems are called multiscale, multiphysics problems. The challenge associated with R-D-C problems is to bridge these scales and processes as seamlessly as possible. For this purpose, we develop a wavelet-based multiscale simulation framework that couples diverse scales and physics.In a first stage we focus on R-D models. We treat the `fine' reaction-scales stochastically, with kinetic Monte Carlo (kMC). The transport via diff
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Jahan, Israt. "Implementation and experimental evaluation of a parameterized PMSynRM model using Matlab and Comsol Multiphysics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265782.

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This thesis focuses on modelling of the permanent magnet synchronous reluctancemotor (PMSynRM), which has drawn considerable attention by researchers thanks toits high efficiency and wide range of speed operation. Comparisons with measurementsfrom a four-pole PMSynRM with four barriers and 24 stator slots have been carriedout. In this thesis work, Matlab and Comsol Multiphysics are used to implement theparameterized PMSynRM model.Models of the PMSynRM in two-dimensions (2D) and three-dimensions (3D) havebeen implemented. The electromotive force (back emf) at no load condition for a fullpitchan
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Gur, Sourav, and Sourav Gur. "Atomistic to Continuum Multiscale and Multiphysics Simulation of NiTi Shape Memory Alloy." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/625589.

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Shape memory alloys (SMAs) are materials that show reversible, thermo-elastic, diffusionless, displacive (solid to solid) phase transformation, due to the application of temperature and/ or stress (/strain). Among different SMAs, NiTi is a popular one. NiTi shows reversible phase transformation, the shape memory effect (SME), where irreversible deformations are recovered upon heating, and superelasticity (SE), where large strains imposed at high enough temperatures are fully recovered. Phase transformation process in NiTi SMA is a very complex process that involves the competition between deve
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Adams, Jacob James. "A coupled electromagnetic-thermal model of heating during radiofrequency ablation." Connect to resource, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1191454972.

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Younes, Chadi. "Developing an Enhanced Model for Combined Heat and Air Infiltration Energy Simulation." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/743.

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The need for efficient, sustainable, and planned utilization of resources is ever more critical. In the U.S. alone, buildings consume 34.8 Quadrillion (1015) BTU of energy annually at a cost of $1.4 Trillion. Of this energy 58% is utilized for heating and air conditioning. Several building energy analysis tools have been developed to assess energy demands and lifecycle energy costs in buildings. Such analyses are also essential for an efficient HVAC design that overcomes the pitfalls of an under/over-designed system. DOE-2 is among the most widely known full building energy analysis models. It
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Engström, Iris. "Steady-state hydrogeological modelling in order to investigate groundwater sensitivity." Thesis, KTH, Mark- och vattenteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171824.

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Growing regions and tighter zoning in urban areas are pushing the hydrological bal-ances to establish new equilibriums which are causing a stress on the groundwater. Urbanization can affect the groundwater in several ways in which both raising and lowering of groundwater tables are a possibility. Both ways, sudden changes may bring on socioeconomic costs for the unprepared. Hydrogeological modelling creates the possibilities to visualise processes that cannot be seen with the naked eye. By combin-ing knowledge about the studied area from tests and measurements a conceptual model and additional
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Books on the topic "Multiphysics model"

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Geiser, Juergen. Decomposition methods in multiphysics and multiscale problems: Models and simulation. Nova Science Publishers, 2009.

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Pryor, Roger W. Multiphysics modeling using COMSOL: A first principles approach. Jones and Bartlett Publishers, 2010.

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Pryor, Roger W. Multiphysics modeling using COMSOL: A first principles approach. Jones and Bartlett Publishers, 2011.

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Pryor, Roger W. Multiphysics modeling using COMSOL: A first principle approach. Jones and Bartlett Publishers, 2010.

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Pryor, Roger W. Multiphysics modeling using COMSOL: A first principles approach. Jones and Bartlett Publishers, 2010.

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Kim, Hyungjun. Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems. Springer Science+Business Media, LLC, 2011.

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FH Science Day (2007 Wels, Austria). FH Science Day: Proceedings : 24th October 2007 : sessions-- simulation in mechanics and multiphysics, challenge biotechnology, logistics and supply chain management, operations management, consumer behavior in the digital age, integrated medical device technologies. Edited by Eidenberger Thomas and FH OÖ Forschungs & Entwicklungs GmbH. Shaker, 2007.

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Cross, Mark. Computational Modelling of Multiphysics Processes. Taylor & Francis Group, 2011.

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Dogahe, Kiarash. Multiscale and Multiphysics Modelling of Materials. Materials Research Forum LLC, 2022.

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Multiscale and Multiphysics Modelling of Materials. Materials Research Forum LLC, 2022.

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Book chapters on the topic "Multiphysics model"

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Schrefler, Bernhard A., Francesco Pesavento, and Dariusz Gawin. "Multiscale/Multiphysics Model for Concrete." In Multiscale Methods in Computational Mechanics. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9809-2_19.

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Szczerba, Dominik, Bryn A. Lloyd, Michael Bajka, and Gábor Székely. "A Multiphysics Model of Myoma Growth." In Computational Science – ICCS 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69387-1_21.

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Szczerba, Dominik, Gábor Székely, and Haymo Kurz. "A Multiphysics Model of Capillary Growth and Remodeling." In Computational Science – ICCS 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758525_12.

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Ren, Xiaodan, Jiun-Shyan Chen, and Jie Li. "MICRO-CRACK INFORMED MULTI-SCALE DAMAGE MODEL: THEORY AND COMPUTATION." In Multiscale and Multiphysics Processes in Geomechanics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19630-0_30.

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Hofstetter, G., M. Pertl, and M. Hofmann. "A NUMERICAL MODEL FOR GEOTECHNICAL PROBLEMS INVOLVING PARTIALLY SATURATED SOILS." In Multiscale and Multiphysics Processes in Geomechanics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19630-0_35.

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Idinger, Gregor, Pelin Aklik, Xiaoyu Song, and Wei Wu. "CENTRIFUGE MODEL TEST AND NUMERICAL ANALYSIS ON FACE STABILITY OF SHALLOW TUNNELS." In Multiscale and Multiphysics Processes in Geomechanics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19630-0_46.

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Liu, Chunyu. "Model Verification." In Multiscale and Multiphysics Modeling of Nuclear Facilities with Coupled Codes and its Uncertainty Quantification and Sensitivity Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-43422-9_3.

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Hachtel, Christoph, Michael Günther, and Andreas Bartel. "Model Order Reduction for Multirate ODE-Solvers in a Multiphysics Application." In Mathematics in Industry. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23413-7_65.

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Schilders, Wil H. A., and Agnieszka Lutowska. "A Novel Approach to Model Order Reduction for Coupled Multiphysics Problems." In Reduced Order Methods for Modeling and Computational Reduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02090-7_1.

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Holzbecher, Ekkehard, and Ahmed Hadidi. "Sediment Transport in Shallow Waters as a Multiphysics Approach." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_16.

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AbstractSuspended particle and bed-load transport are usually high during flooding events. For that reason, sediment transport is an important feature to be taken into account when studying floods. Measures that aim to mitigate the negative impacts of floods depend on such studies. Sediment transport phenomena are complex due to their coupling behavior with fluid flow. Due to the erosion and sedimentation of particulate matter, the ground surface changes during the passing of a flood. The courses of unregulated rivers and wadis after floods are different than those before floods. Flowing water
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Conference papers on the topic "Multiphysics model"

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Plzák, Milan, Martin Bat’a, Juraj Paulech, et al. "Multiphysics Model of a Battery Module." In 2025 Cybernetics & Informatics (K&I). IEEE, 2025. https://doi.org/10.1109/ki64036.2025.10916425.

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Proudlove, Ethan, Richard C. Woollam, Harvey Thompson, and Richard Barker. "Machine Learning Based Surrogate Modelling of High-fidelity Multiphysics CO2 Corrosion Model Predictions." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00161.

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Abstract The University of Leeds has developed a high-fidelity mechanistic CO2 corrosion prediction model that simulates the underlying bulk equilibrium, mass transport, and electrochemical processes using a multiphysics simulation software. However, several characteristics of this model hinder its industry adoption, including licensing costs, the requirement for trained users, and the complexity of achieving satisfactory convergence when performing extended run-time large scale parametric sweeps. In this work we investigate the use of Machine Learning based surrogate modelling to combat these
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Liu, Xiaoyu, Junjie Zhong, Xiaochen Wang, Zhenkun Lei, and Ruixiang Bai. "Study on 3D-RVE multiphysics model of carbon fiber electrode." In International Conference on New Materials, Machinery, and Vehicle Engineering 2024, edited by Jinyang Xu and J. Paulo Davim. SPIE, 2024. http://dx.doi.org/10.1117/12.3054954.

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Franchin, L., A. Paccagnella, and S. Bonaldo. "Multiphysics Model for Simulation of Electrochemical Signals for Biosensing Applications." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712666.

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Woollam, Richard C., Ethan Proudlove, Michael Jones, Harvey M. Thompson, and Richard Barker. "Symbolic Regression Based Surrogate Modelling of a High-Fidelity Multiphysics CO2 Corrosion Model." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00433.

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Abstract A high-fidelity mechanistic carbon steel/carbon dioxide (CO2) corrosion prediction model developed at the University of Leeds has been implemented in the multi-physics (MP) software package COMSOL. The model integrates the bulk solution equilibria, interfacial mass transport and solution reactions, and surface anodic and cathodic electrochemical processes. In this work, the high-fidelity model is randomly sampled in the 5-input dimensions (bulk pH, temperature, CO2 partial pressure, piping velocity and diameter) using a Beta distribution, B(α, β), with the parameters α and β set to 12
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Huibregtse, Clyde, Amrit Patel, and Patrick Everett. "Automated Multiphysics Evaluation Model Assessment and Determination of Thermal-Hydraulic Safety Margins." In Advanced Reactor Safety (ARS). American Nuclear Society, 2024. http://dx.doi.org/10.13182/t130-43359.

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Abou-Jaoude, Abdalla, Guillaume Giudicelli, Samuel Walker, et al. "Recent Advanced Reactor Multiphysics Model Highlights in the Virtual Test Bed (VTB)." In International Conference on Physics of Reactors (PHYSOR 2024). American Nuclear Society, 2024. http://dx.doi.org/10.13182/physor24-43548.

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Zaikin, Denys I. "Comparison of Three-Winding Transformer Model Extraction Using FEMM and COMSOL Multiphysics®." In 2024 21st International Conference on Mechatronics - Mechatronika (ME). IEEE, 2024. https://doi.org/10.1109/me61309.2024.10789682.

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Wang, Yueyi, Wenxi Zhen, Yanyan Bao, Jia Zhang, Hailong Zhang, and Jing Yang. "A Unified Magnetic Equivalent Circuit Model for Transformer Core Saturation Analysis in Multiphysics Simulations." In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE). IEEE, 2024. https://doi.org/10.1109/icpre62586.2024.10768394.

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Marti, G., W. H. Zisser, L. Arnaud, and Y. Wouters. "Electromigration: Multiphysics model and experimental calibration." In 2016 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2016. http://dx.doi.org/10.1109/irps.2016.7574616.

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Reports on the topic "Multiphysics model"

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Kesterson, M. COMSOL MULTIPHYSICS MODEL FOR DWPF CANISTER FILLING. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1014373.

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Kesterson, M. R. COMSOL Multiphysics Model for HLW Canister Filling. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1250756.

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Kesterson, M. COMSOL MULTIPHYSICS MODEL FOR DWPF CANISTER FILLING, REVISION 1. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1024868.

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Turinsky, Paul. Development of Adaptive Model Refinement (AMoR) for Multiphysics and Multifidelity Problems. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1169938.

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Gharagozloo, Patricia E., Mehdi Eliassi, and Bradley Luis Bon. Multiphysics Model of Palladium Hydride Isotope Exchange Accounting for Higher Dimensionality. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1177839.

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Laurent, Capolungo, Malki Mounia, Hostemeyer M.F, et al. A Multiphysics Thermoelastoviscoplastic Damage Internal State Variable Constitutive Model including Magnetism. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2377306.

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Iwamoto, Osamu, and Jean-Christophe Sublet. Summary Report of the Consultants’ Meeting on Model Code Output & Application nuclear Data Form Structure. IAEA Nuclear Data Section, 2022. http://dx.doi.org/10.61092/iaea.mas9-22mh.

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The purpose of the event is to assess the actual capabilities, successfully deployed methods, tools and protocols, future needs in terms of model code output and application nuclear data form structure with the aim of testing/prototyping/developing and deploying cutting-edge nuclear data form structure to support high-fidelity Multiphysics simulation efforts. A partnership between fundamental sciences and applications, along the lines of PREPRO, CRECTJ6, FUDGE, TAGNDS, TARES, DeCE, TEFAL, GIDI, MCGIDI.
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Tregillis, Ian Lee. Analytic Solutions as a Tool for Verification and Validation of a Multiphysics Model: Application to the RMI+SSVD Ejecta Source Model. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1542799.

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Keith, B., A. Apostolatos, A. Kodakkal, et al. D2.3. Adjoint-based error estimation routines. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.022.

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This document presents a simple and ecient strategy for adaptive mesh renement (AMR) and a posteriori error estimation for the transient incompressible Navier{Stokes equations. This strategy is informed by the work of Prudhomme and Oden [22, 23] as well as modern goal-oriented methods such as [5]. The methods described in this document have been implemented in the Kratos Multiphysics software and uploaded to https://zenodo.org [27].1 This document includes: A review of the state-of-the-art in solution-oriented and goal-oriented AMR. The description of a 2D benchmark model problem of immediate
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Apostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.

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This deliverable focus on the verification and validation of the solvers of Kratos Multiphysics which are used within ExaQUte. These solvers comprise standard body-fitted approaches and novel embedded approaches for the Computational Fluid Dynamics (CFD) simulations carried out within ExaQUte. Firstly, the standard body-fitted CFD solver is validated on a benchmark problem of high rise building - CAARC benchmark and subsequently the novel embedded CFD solver is verified against the solution of the body-fitted solver. Especially for the novel embedded approach, a workflow is presented on which
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