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[FZJ-2025-02492]
Contribution to a conference proceedings/Contribution to a book
Adia, U. ; Khan, A. ; Sleigh, A. ; et al
Machine Learning-Based Intelligent CFD Surrogates for Interactive Design Exploration of Built Environments
2025Proceedings of the 35th Parallel CFD International Conference 2024 35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 207 - 212 (2025) [10.34734/FZJ-2025-02492]2025
This study focuses on the application of reduced order models (ROMs) and various machine learning (ML) techniques to create surrogate computational fluid dynamics (CFD) models for the built environment. By using functional principal component analysis (FPCA), these surrogates can reconstruct flow fields for different geometries significantly faster than traditional CFD methods, providing insights into factors such as thermal comfort and ventilation. [...]
OpenAccess: PDF;
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[FZJ-2025-02453]
Contribution to a conference proceedings/Contribution to a book
Horne, M. J. S. ; Jimack, P. K. ; Khan, A. ; et al
Hard Constraint Projection in a Physics Informed Neural Network
2025Proceedings of the 35th Parallel CFD International Conference 2024 35th Parallel CFD International Conference 2024, ParCFD 2024, BonnBonn, Germany, 2 Sep 2024 - 4 Sep 20242024-09-022024-09-04
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich IAS Series 69, 50 - 53 (2025) [10.34734/FZJ-2025-02453]2025
In this work, we embed hard constraints in a physics informed neural network (PINN) which predicts solutions to the 2D incompressible Navier-Stokes equations. We extend the hard constraint method introduced by Chen et al. [...]
OpenAccess: PDF;
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[FZJ-2025-02393]
Journal Article
Rauer, H. ; Aerts, C. ; Cabrera, J. ; et al
The PLATO mission
PLATO (PLAnetary Transits and Oscillations of stars) is ESA's M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to < 2 R_Earth) around bright stars (< 11 mag), including terrestrial planets in the habitable zone of solar-like stars. [...]
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[FZJ-2025-02065]
Journal Article
Ferreri, A. ; Wang, H. ; Nori, F. ; et al
Quantum heat engine based on quantum interferometry: The SU(1,1) Otto cycle
We present a quantum heat engine based on a quantum Otto cycle whose working substance reproduces the same outcomes as an SU(1,1) interference process at the end of each adiabatic transformation. This device takes advantage of the extraordinary quantum metrological features of the SU(1,1) interferometer to better discriminate the sources of uncertainty of relevant observables during each adiabatic stroke of the cycle. [...]
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[FZJ-2025-01435]
Journal Article
Abusleme, A. ; Adam, T. ; Ahmad, S. ; et al
The design and technology development of the JUNO central detector
The Jiangmen Underground Neutrino Observatory (JUNO) is a large-scale neutrino experiment with multiple physics goals including determining the neutrino mass hierarchy, the accurate measurement of neutrino oscillation parameters, the neutrino detection from supernovae, the Sun, and the Earth, etc. JUNO puts forward physically and technologically stringent requirements for its central detector (CD), including a large volume and target mass (20 kt liquid scintillator, LS), a high-energy resolution (3% at 1 MeV), a high light transmittance, the largest possible photomultiplier (PMT) coverage, the lowest possible radioactive background, etc. [...]
OpenAccess: PDF;
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