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Physics-informed machine learning

Papers archive 2025-07-28

archive papers tagged: 192 · with a code link: 63 · where Syntology ran a sample: 5 (4 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (5 of 192 tagged: 4 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 192 of 192, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
  6 Oct 2024 0 repositories listed
• A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations
  5 Sep 2024 0 repositories listed
• State-space models are accurate and efficient neural operators for dynamical systems
  5 Sep 2024 0 repositories listed
• (Un)supervised Learning of Maximal Lyapunov Functions
  30 Aug 2024 0 repositories listed
• Spectrally Informed Learning of Fluid Flows
  26 Aug 2024 0 repositories listed
• Machine Learning with Physics Knowledge for Prediction: A Survey
  19 Aug 2024 0 repositories listed
• Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
  18 Aug 2024 0 repositories listed
• Physics-Informed Machine Learning for Grade Prediction in Froth Flotation
  12 Aug 2024 0 repositories listed
• Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling
  7 Aug 2024 0 repositories listed
• Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks
  22 Jul 2024 0 repositories listed
• Physical Data Embedding for Memory Efficient AI
  19 Jul 2024 0 repositories listed
• Physics-Informed Machine Learning for Smart Additive Manufacturing
  15 Jul 2024 0 repositories listed
• Predicting 3D Rigid Body Dynamics with Deep Residual Network
  9 Jul 2024 0 repositories listed
• Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
  8 Jul 2024 0 repositories listed
• Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning
  28 Jun 2024 0 repositories listed
• Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
  21 Jun 2024 0 repositories listed
• A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
  5 Jun 2024 0 repositories listed
• Physics-Informed Machine Learning On Polar Ice: A Survey
  30 Apr 2024 0 repositories listed
• Data-driven AC Optimal Power Flow with Physics-informed Learning and Calibrations
  14 Apr 2024 0 repositories listed
• Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes
  8 Apr 2024 0 repositories listed
• Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures
  28 Feb 2024 0 repositories listed
• Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
  27 Feb 2024 0 repositories listed
• Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning
  26 Feb 2024 0 repositories listed
• Replication Study: Enhancing Hydrological Modeling with Physics-Guided Machine Learning
  21 Feb 2024 0 repositories listed
• A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
  22 Jan 2024 0 repositories listed
• A Physics-informed machine learning model for time-dependent wave runup prediction
  12 Jan 2024 0 repositories listed
• A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning
  15 Dec 2023 0 repositories listed
• Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems
  11 Dec 2023 0 repositories listed
• Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks
  23 Nov 2023 0 repositories listed
• Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics
  21 Nov 2023 0 repositories listed
• A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
  12 Nov 2023 0 repositories listed
• Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework
  7 Nov 2023 0 repositories listed
• Overview of Physics-Informed Machine Learning Inversion of Geophysical Data
  12 Oct 2023 0 repositories listed
• An operator preconditioning perspective on training in physics-informed machine learning
  9 Oct 2023 0 repositories listed
• Physics-Informed Induction Machine Modelling
  29 Sep 2023 0 repositories listed
• Scalable Neural Dynamic Equivalence for Power Systems
  29 Sep 2023 0 repositories listed
• AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
  19 Sep 2023 0 repositories listed
• Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward
  19 Sep 2023 0 repositories listed
• Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
  14 Sep 2023 0 repositories listed
• Physics-informed machine learning of the correlation functions in bulk fluids
  2 Sep 2023 0 repositories listed
• A physics-informed machine learning model for reconstruction of dynamic loads
  15 Aug 2023 0 repositories listed
• A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
  6 Aug 2023 0 repositories listed
• Physics-informed Gaussian process model for Euler-Bernoulli beam elements
  5 Aug 2023 0 repositories listed
• Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
  23 Jul 2023 0 repositories listed
• Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
  12 Jul 2023 0 repositories listed
• Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
  24 Jun 2023 0 repositories listed
• Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
  31 May 2023 0 repositories listed
• Physics-Informed Computer Vision: A Review and Perspectives
  29 May 2023 0 repositories listed
• Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
  15 May 2023 0 repositories listed
• Physics-informed machine learning for moving load problems
  1 Apr 2023 0 repositories listed
• A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
  31 Mar 2023 0 repositories listed
• Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
  21 Mar 2023 0 repositories listed
• Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning
  15 Mar 2023 0 repositories listed
• Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion
  13 Mar 2023 0 repositories listed
• MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
  6 Mar 2023 0 repositories listed
• h-analysis and data-parallel physics-informed neural networks
  17 Feb 2023 0 repositories listed
• Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
  30 Jan 2023 0 repositories listed
• Physics-informed neural networks for pathloss prediction
  23 Nov 2022 0 repositories listed
• Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
  20 Nov 2022 0 repositories listed
• Physics Informed Machine Learning for Chemistry Tabulation
  6 Nov 2022 0 repositories listed
• Valuation of Public Bus Electrification with Open Data
  25 Sep 2022 0 repositories listed
• How important are activation functions in regression and classification? A survey, performance comparison, and future directions
  6 Sep 2022 0 repositories listed
• Physics-informed Machine Learning of Parameterized Fundamental Diagrams
  1 Aug 2022 0 repositories listed
• Physics-informed machine learning for Structural Health Monitoring
  30 Jun 2022 0 repositories listed
• Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning
  14 Jun 2022 0 repositories listed
• Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems
  11 Jun 2022 0 repositories listed
• Scalable algorithms for physics-informed neural and graph networks
  16 May 2022 0 repositories listed
• When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
  31 Mar 2022 0 repositories listed
• Calibrating constitutive models with full-field data via physics informed neural networks
  30 Mar 2022 0 repositories listed
• Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
  26 Jan 2022 0 repositories listed
• Numerical Approximation in CFD Problems Using Physics Informed Machine Learning
  1 Nov 2021 0 repositories listed
• Towards Model Reduction for Power System Transients with Physics-Informed PDE
  26 Oct 2021 0 repositories listed
• A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs
  26 Oct 2021 0 repositories listed
• AdjointNet: Constraining machine learning models with physics-based codes
  8 Sep 2021 0 repositories listed
• Grey-box models for wave loading prediction
  10 May 2021 0 repositories listed
• Numerical Gaussian process Kalman filtering for spatiotemporal systems
  5 May 2021 0 repositories listed
• Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems
  30 Apr 2021 0 repositories listed
• Discovering nonlinear resonances through physics-informed machine learning
  27 Apr 2021 0 repositories listed
• Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
  22 Apr 2021 0 repositories listed
• NETWORK COMPRESSION FOR MACHINE-LEARNT FLUID SIMULATIONS
  4 Mar 2021 0 repositories listed
• A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
  13 Jan 2021 0 repositories listed
• AutoMat: Accelerated Computational Electrochemical systems Discovery
  3 Nov 2020 0 repositories listed
• A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications
  28 Sep 2020 0 repositories listed
• QRnet: optimal regulator design with LQR-augmented neural networks
  11 Sep 2020 0 repositories listed
• Universal Battery Performance and Degradation Model for Electric Aircraft
  6 Jul 2020 0 repositories listed
• Physics-informed machine learning for sensor fault detection with flight test data
  23 Jun 2020 0 repositories listed
• Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
  31 May 2020 0 repositories listed
• Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration
  4 Mar 2020 0 repositories listed
• Learning ergodic averages in chaotic systems
  9 Jan 2020 0 repositories listed
• Tensor Basis Gaussian Process Models of Hyperelastic Materials
  23 Dec 2019 0 repositories listed
• Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing
  28 Aug 2019 0 repositories listed
• Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning
  19 Aug 2018 0 repositories listed