Towards non-invasive computational-mechanics and imaging-based diagnostic framework for personalized cardiology for coarctation. [PDF]
Sci Rep, 2020 Coarctation of the aorta (COA) is a congenital narrowing of the proximal descending aorta. Although accurate and early diagnosis of COA hinges on blood flow quantification, proper diagnostic methods for COA are still lacking because fluid-dynamics ...
Sadeghi R +3 more
europepmc +2 more sources
Towards quantum computational mechanics [PDF]
Computer Methods in Applied Mechanics and Engineering, 2023 The advent of quantum computers, operating on entirely different physical principles and abstractions from those of classical digital computers, sets forth a new computing paradigm that can potentially result in game-changing efficiencies and computational performance.
Burigede Liu, Michael Ortiz, Fehmi Cirak
openaire +4 more sources
International Journal of Trend in Scientific Research and Development, 2019 Computational mechanics (CM) is concerned with the use of computational techniques to characterize, predict, and simulate physical phenomena and engineering systems governed by the principles of mechanics.
Matthew N. O. Sadiku +2 more
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Discrete Information Dynamics with Confidence via the Computational Mechanics Bootstrap: Confidence Sets and Significance Tests for Information-Dynamic Measures [PDF]
Entropy, 2020 Information dynamics and computational mechanics provide a suite of measures for assessing the information- and computation-theoretic properties of complex systems in the absence of mechanistic models.
David Darmon
doaj +2 more sources
On contemporary computational mechanics [PDF]
Journal of Civil Engineering and Management, 2009 It is a great pleasure to inform the readers that Prof. Herbert A. Mang, an active member of Editorial Board, on April 30, 2007, was given a prestigious award, the Carl-Friedrich-Gauß-Medal, by the Braunschweigische Wissenschaftliche Gesellschaft (BWG ...
Herbert Mang
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Data-driven computational mechanics [PDF]
, 2015 We develop a new computing paradigm, which we refer to as data-driven computing, according to which calculations are carried out directly from experimental material data and pertinent constraints and conservation laws, such as compatibility and ...
Kirchdoerfer, T., Ortiz, M.
core +5 more sources
BINN: A deep learning approach for computational mechanics problems based on boundary integral equations [PDF]
Computer Methods in Applied Mechanics and Engineering, 2023 We proposed the boundary-integral type neural networks (BINN) for the boundary value problems in computational mechanics. The boundary integral equations are employed to transfer all the unknowns to the boundary, then the unknowns are approximated using ...
Jia Sun +4 more
semanticscholar +1 more source
Quantum Computing Enhanced Distance-Minimizing Data-Driven Computational Mechanics [PDF]
Computer Methods in Applied Mechanics and Engineering, 2023 The distance-minimizing data-driven computational mechanics has great potential in engineering applications by eliminating material modeling error and uncertainty.
Yongchun Xu +5 more
semanticscholar +1 more source
The Augmented Lagrangian Method as a Framework for Stabilised Methods in Computational Mechanics [PDF]
Archives of Computational Methods in Engineering, 2022 In this paper we will present a review of recent advances in the application of the augmented Lagrange multiplier method as a general approach for generating multiplier-free stabilised methods.
E. Burman, P. Hansbo, M. Larson
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Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics [PDF]
Computer Modeling in Engineering & Sciences, 2022 Three recent breakthroughs due to AI in arts and science serve as motivation: An award winning digital image, protein folding, fast matrix multiplication.
L. Vu-Quoc, A. Humer
semanticscholar +1 more source