Skip to content

CHANGELOG.md

Latest commit

 

History

History
76 lines (55 loc) · 3.08 KB

CHANGELOG.md

File metadata and controls

76 lines (55 loc) · 3.08 KB
Raw

Changelog

All notable changes to the AI Pixel Antennas project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.0.0] - 2026-02-10

Initial Release

This is the first public release of the AI Pixel Antennas repository, accompanying the following publications:

  • Gupta, A., Bhat, C., Karahan, E., Sengupta, K., & Khankhoje, U. (2023). "Tandem Neural Network based Design of Multi-band Antennas." IEEE Transactions on Antennas and Propagation, 71(8), 6308-6317.

  • Gupta, A., & Khankhoje, U. (2024). "Transfer Learning Based Rapid Design of Frequency and Dielectric Agile Antennas." IEEE Journal on Multiscale and Multiphysics Computational Techniques, 10, 47-57.

Added

MATLAB Code

  • generateantenna_air.m - Generate single air-substrate antenna structure
  • generateantenna_for_tandem_air.m - Parallel dataset generation for air substrates
  • generateantenna_scaled.m - Generate scaled dielectric-substrate antenna
  • generateantenna_transferlearning.m - Dataset generation for transfer learning
  • inverse_design_using_bpso_with_TLfwdmodel.m - Binary PSO inverse design with neural surrogate
  • parsave.m - Helper function for parallel dataset saving

Python/Jupyter Notebooks

  • Inverse_design_tandem.ipynb - Training code for tandem neural network
  • Test_Inverse_design_tandem.ipynb - Inference code for antenna design generation
  • Forward_model_Transfer_learning.ipynb - Transfer learning implementation

Pre-trained Models (External Downloads)

  • Forward surrogate CNN for tandem network (air, 10-20 GHz)
  • Inverse network for tandem architecture
  • Transfer learning forward surrogate (FR-4, 1-5 GHz)

Datasets (External Downloads)

  • Air-substrate antenna database (500k samples)

Documentation

  • README.md - Comprehensive project documentation
  • LICENSE - MIT License (No Patent Grant)
  • PATENT_NOTICE - Patent licensing information
  • CHANGELOG.md - This file

Figures

  • tandem_overview.png - Conceptual framework comparison
  • tandem_architecture.png - Network architecture diagram
  • forward_cnn.png - Forward surrogate CNN structure
  • transfer_learning_flow.png - Transfer learning workflow
  • pixelated_patch.png - Pixelated antenna representation
  • single_band_result.png - Example design result

Repository Information

  • License: MIT (No Patent Grant) - See LICENSE file
  • Patent: Indian Patent No. 572928 - See PATENT_NOTICE file
  • Authors: Aggraj Gupta, Uday Khankhoje
  • Affiliation: Department of Electrical Engineering, IIT Madras

Future Releases

Future versions may include:

  • Additional substrate materials and frequency bands
  • Extended pixel grid resolutions
  • Pre-trained models for different antenna configurations
  • Jupyter notebook tutorials for beginners
  • Validation scripts for comparing surrogate vs. full-wave simulations
  • Performance benchmarking tools

For questions or contributions, please contact the authors or open an issue in the repository.