These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 36322833)

  • 1. Multiscale Physics-Informed Neural Networks for Stiff Chemical Kinetics.
    Weng Y; Zhou D
    J Phys Chem A; 2022 Nov; 126(45):8534-8543. PubMed ID: 36322833
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Physics-informed neural networks and functional interpolation for stiff chemical kinetics.
    De Florio M; Schiassi E; Furfaro R
    Chaos; 2022 Jun; 32(6):063107. PubMed ID: 35778155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics.
    Ji W; Qiu W; Shi Z; Pan S; Deng S
    J Phys Chem A; 2021 Sep; 125(36):8098-8106. PubMed ID: 34463510
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Stiff neural ordinary differential equations.
    Kim S; Ji W; Deng S; Ma Y; Rackauckas C
    Chaos; 2021 Sep; 31(9):093122. PubMed ID: 34598467
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor.
    Tarkhov D; Lazovskaya T; Malykhina G
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679461
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks.
    Vemuri SK; Denzler J
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960365
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
    Liu Y; Cai L; Chen Y; Wang B
    Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.
    Wu D; Lisser A
    Neural Netw; 2023 Nov; 168():419-430. PubMed ID: 37804745
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Physics-informed neural networks to solve lumped kinetic model for chromatography process.
    Tang SY; Yuan YH; Chen YC; Yao SJ; Wang Y; Lin DQ
    J Chromatogr A; 2023 Oct; 1708():464346. PubMed ID: 37716084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Hybrid Deep Learning Method for Predicting the Flow Fields of Biomimetic Flapping Wings.
    Hu F; Tay W; Zhou Y; Khoo B
    Biomimetics (Basel); 2024 Jan; 9(2):. PubMed ID: 38392118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.
    Roy AM; Bose R; Sundararaghavan V; Arróyave R
    Neural Netw; 2023 May; 162():472-489. PubMed ID: 36966712
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On acoustic fields of complex scatters based on physics-informed neural networks.
    Wang H; Li J; Wang L; Liang L; Zeng Z; Liu Y
    Ultrasonics; 2023 Feb; 128():106872. PubMed ID: 36323059
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Neural Network-Assisted Euler Integrator for Stiff Kinetics in Atmospheric Chemistry.
    Huang Y; Seinfeld JH
    Environ Sci Technol; 2022 Apr; 56(7):4676-4685. PubMed ID: 35301846
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework.
    Wu D; Lisser A
    IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38261500
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Data-driven solutions and parameter estimations of a family of higher-order KdV equations based on physics informed neural networks.
    Chen J; Shi J; He A; Fang H
    Sci Rep; 2024 Oct; 14(1):23874. PubMed ID: 39396058
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Parsimonious physics-informed random projection neural networks for initial value problems of ODEs and index-1 DAEs.
    Fabiani G; Galaris E; Russo L; Siettos C
    Chaos; 2023 Apr; 33(4):. PubMed ID: 37097940
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Physics Informed Neural Networks (PINN) for Low Snr Magnetic Resonance Electrical Properties Tomography (MREPT).
    Inda AJG; Huang SY; İmamoğlu N; Qin R; Yang T; Chen T; Yuan Z; Yu W
    Diagnostics (Basel); 2022 Oct; 12(11):. PubMed ID: 36359471
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
    Gnanasambandam R; Shen B; Chung J; Yue X; Kong Z
    IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):15588-15603. PubMed ID: 37610913
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
    Markidis S
    Front Big Data; 2021; 4():669097. PubMed ID: 34870188
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios.
    Wong HS; Chan WX; Li BH; Yap CH
    Sci Rep; 2024 May; 14(1):11577. PubMed ID: 38773243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.