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Data · dataset · 2026

Source code for physics-informed neural-network formulation for flexoelectric contact in a half-plane with prescribed contact width

Listed in ScienceDB

This deposit contains the Python source code used to train and post-process the physics-informed neural-network model reported in the associated article.

Description

The training code implements the dimensionally consistent flexoelectric prescribed-strip contact formulation and coefficient-sensitivity calculations. The post-processing code reconstructs the mechanical and electrical fields and generates the numerical results and figures.

The required Python packages are PyTorch, NumPy, pandas, and Matplotlib. A CUDA-capable GPU is recommended for full training.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Mechanical engineering 71%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00145.0002j11 d agoJSON v1
FieldAssertionExtractorEvidence
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