Yayati Jadhav

I’m Yayati Jadhav, a senior PhD candidate at the Mechanical and Artificial Intelligence Laboratory (MAIL) at Carnegie Mellon University (CMU). My research specializes in Deep Generative Models for Accelerated Mechanical Design and Manufacturing. I integrate advanced machine learning techniques to create surrogate models for accurate property prediction, enabling faster and more efficient product design cycles. Additionally, my work involves the inverse design of complex mechanical structures, optimizing their performance by predicting optimal configurations. Furthermore, I develop large language model (LLM)-based agent workflows that enhance real-time monitoring and intelligent control systems in manufacturing processes, aiming to significantly boost efficiency, reduce costs, and ensure superior quality in production environments.

selected publications

StressD: 2D Stress estimation using denoising diffusion model

Yayati Jadhav, Joseph Berthel, Chunshan Hu, and 3 more authors

Computer Methods in Applied Mechanics and Engineering, 2023

DOI Bib HTML

@article{jadhav2023stressd,
  title = {StressD: 2D Stress estimation using denoising diffusion model},
  author = {Jadhav, Yayati and Berthel, Joseph and Hu, Chunshan and Panat, Rahul and Beuth, Jack and Farimani, Amir Barati},
  journal = {Computer Methods in Applied Mechanics and Engineering},
  volume = {416},
  pages = {116343},
  year = {2023},
  publisher = {North-Holland},
  dimensions = {true},
  url = {https://doi.org/10.1016/j.cma.2023.116343},
  doi = {10.1016/j.cma.2023.116343},
}

Large language model agent as a mechanical designer

Yayati Jadhav and Amir Barati Farimani

arXiv preprint arXiv:2404.17525, 2024

DOI Bib HTML

@article{jadhav2024large,
  title = {Large language model agent as a mechanical designer},
  author = {Jadhav, Yayati and Farimani, Amir Barati},
  journal = {arXiv preprint arXiv:2404.17525},
  year = {2024},
  dimensions = {true},
  doi = {10.48550/arXiv.2404.17525},
  url = {https://doi.org/10.48550/arXiv.2404.17525},
}

Generative Lattice Units with 3D Diffusion for Inverse Design: GLU3D

Yayati Jadhav, Joeseph Berthel, Chunshan Hu, and 3 more authors

Advanced Functional Materials, 2024

DOI Bib HTML

@article{jadhav2024generative,
  title = {Generative Lattice Units with 3D Diffusion for Inverse Design: GLU3D},
  author = {Jadhav, Yayati and Berthel, Joeseph and Hu, Chunshan and Panat, Rahul and Beuth, Jack and Barati Farimani, Amir},
  journal = {Advanced Functional Materials},
  pages = {2404165},
  year = {2024},
  publisher = {Wiley Online Library},
  dimensions = {true},
  url = {https://doi.org/10.1002/adfm.202404165},
  doi = {10.1002/adfm.202404165},
}

Llm-3d print: Large language models to monitor and control 3d printing

Yayati Jadhav, Peter Pak, and Amir Barati Farimani

arXiv preprint arXiv:2408.14307, 2024

DOI Bib HTML

@article{jadhav2024llm,
  title = {Llm-3d print: Large language models to monitor and control 3d printing},
  author = {Jadhav, Yayati and Pak, Peter and Farimani, Amir Barati},
  journal = {arXiv preprint arXiv:2408.14307},
  year = {2024},
  dimensions = {true},
  url = {https://doi.org/10.48550/arXiv.2408.14307},
  doi = {10.48550/arXiv.2408.14307},
}