Partial Differential Equations (pdes) - Catalysis

Relevant Publications

Novel numerical and artificial neural computing with experimental validation towards unsteady micropolar nanofluid flow across a Riga plate.

Issue Release: 2025

A parameter estimation method for chromatographic separation process based on physics-informed neural network.

Issue Release: 2024

Promising directions of machine learning for partial differential equations.

Issue Release: 2024

Tackling the curse of dimensionality with physics-informed neural networks.

Issue Release: 2024

Inferring Stochastic Rates from Heterogeneous Snapshots of Particle Positions.

Issue Release: 2024

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data.

Issue Release: 2024

Learning Traveling Solitary Waves Using Separable Gaussian Neural Networks.

Issue Release: 2024

Integral BLF-Based Adaptive Dynamic Event-Triggered Boundary Control for a Flexible Riser System.

Issue Release: 2024

Neural operators for robust output regulation of hyperbolic PDEs.

Issue Release: 2024

Secure consensus for PDEs-based multiagent systems under DoS attacks via boundary control approach.

Issue Release: 2024

Analysis of Entropy Generation via Non-Similar Numerical Approach for Magnetohydrodynamics Casson Fluid Flow with Joule Heating.

Issue Release: 2024

Enhancing Brain-Computer Interfaces through Kriging-Based Fusion of Sparse Regression Partial Differential Equations to Counter Injection Molding View of Node Displacement Effects.

Issue Release: 2024

Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries.

Issue Release: 2024

A survey on fractal fractional nonlinear Kawahara equation theoretical and computational analysis.

Issue Release: 2024

A Learnable Prior Improves Inverse Tumor Growth Modeling.

Issue Release: 2024

Instability analysis for MHD boundary layer flow of nanofluid over a rotating disk with anisotropic and isotropic roughness.

Issue Release: 2024

A Novel Hybrid Deep Learning Method for Predicting the Flow Fields of Biomimetic Flapping Wings.

Issue Release: 2024

Physics-informed neural wavefields with Gabor basis functions.

Issue Release: 2024

Dynamics of non-newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing.

Issue Release: 2024

Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks.

Issue Release: 2024

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