Automated segmentation of porous thermal spray material CT scans with predictive uncertainty estimation.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 525, doi. 10.1007/s00466-023-02345-4
- By:
- Publication type:
- Article
Works matching IS 01787675 AND DT 2023 AND VI 72 AND IP 3
Results: 12
1
2
Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 563, doi. 10.1007/s00466-023-02343-6
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- Publication type:
- Article
3
Machine learning meta-models for fast parameter identification of the lattice discrete particle model.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 593, doi. 10.1007/s00466-023-02320-z
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- Publication type:
- Article
4
Correction: An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models.
- Published in:
- 2023
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- Publication type:
- Correction Notice
5
On the geometry transferability of the hybrid iterative numerical solver for differential equations.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 471, doi. 10.1007/s00466-023-02271-5
- By:
- Publication type:
- Article
6
An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 485, doi. 10.1007/s00466-023-02308-9
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- Publication type:
- Article
7
Semi-supervised invertible neural operators for Bayesian inverse problems.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 451, doi. 10.1007/s00466-023-02298-8
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- Publication type:
- Article
8
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 553, doi. 10.1007/s00466-023-02296-w
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- Publication type:
- Article
9
Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 513, doi. 10.1007/s00466-023-02287-x
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- Publication type:
- Article
10
A machine learning-based probabilistic computational framework for uncertainty quantification of actuation of clustered tensegrity structures.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 431, doi. 10.1007/s00466-023-02284-0
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- Publication type:
- Article
11
A thermodynamics-informed active learning approach to perception and reasoning about fluids.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 577, doi. 10.1007/s00466-023-02279-x
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- Publication type:
- Article
12
Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification.
- Published in:
- Computational Mechanics, 2023, v. 72, n. 3, p. 499, doi. 10.1007/s00466-022-02257-9
- By:
- Publication type:
- Article