Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

arXiv:2609.01417 · cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Adam — 15× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Physics-Informed Neural Network — 12× in this paper
• Loss Function — 10× in this paper · explained in 2 episodes
• Attention Mechanism — 9× in this paper · explained in 3 episodes
• Regularization — 6× in this paper · explained in 3 episodes
• Ground-Penetrating Radar — 5× in this paper
• alpha — 5× in this paper · explained in 1 episode
• Impact Echo — 4× in this paper
• Generalization — 3× in this paper · explained in 13 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Non-Destructive Evaluation — 3× in this paper
• Physics-Informed Neural Network (PINN) — 3× in this paper · explained in 3 episodes
• Physics-Informed Neural Networks (PINNs) — 3× in this paper · explained in 6 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Electrical Resistivity — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Half-Cell Potential — 2× in this paper
• Initial Data — 2× in this paper · explained in 2 episodes
• Long Short-Term Memory — 2× in this paper
• Mean Squared Error — 2× in this paper
• Spatial-Feature Channel Attention — 2× in this paper
• Ultrasonic Surface Waves — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Bridge Evaluation and Accelerated Structural Testing — 1× in this paper
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Temporal-Feature Frame Attention — 1× in this paper
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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