Prathamesh Deshmukh

Physics PhD Scholar & Scientific Programmer

Doctoral researcher in condensed matter physics. I write Python for lab automation.

Contact: prathameshnium[at]duck[.]com

LinkedIn X ORCID Google Scholar Scopus ResearchGate dev.to Hacker News

Temperature0.25 T_c · ordered Move the cursor to steer the spins. Click to kick them. Heat them past T_c to watch the order melt.

Projects

Instruments, simulations and tools from my research.

PythonTkinterPyVISAMultiprocessing

PICA: Python Instrument Control & Automation

My flagship project. A modular, open-source Python suite for automating laboratory instruments, with a central GUI for transport, dielectric and pyroelectric measurements in materials science. Current release: v1.0.5.

Documentation GitHub PyPI

Cite PICA

@software{Deshmukh_PICA_2026,
  author    = {Deshmukh, Prathamesh and Mukherjee, Sudip},
  title     = {{PICA: Advanced High-Precision Transport Measurement Automation with Python}},
  month     = jun,
  year      = {2026},
  publisher = {GitHub},
  version   = {1.0.5},
  doi       = {10.5281/zenodo.18377216},
  url       = {https://github.com/prathameshnium/PICA-Python-Instrument-Control-and-Automation}
}

The DOI is the Zenodo concept DOI, which always resolves to the latest release.

@software{Deshmukh_PICA_2023,
  author    = {Deshmukh, Prathamesh Keshao and Mukherjee, Sudip},
  title     = {{PICA: Python-based Instrument Control and Automation Software Suite}},
  month     = sep,
  year      = {2023},
  publisher = {GitHub},
  version   = {14.1.0},
  url       = {https://github.com/prathameshnium/PICA-Python-Instrument-Control-and-Automation/tree/14.1.0}
}

Kept for anyone who used the 2023 version.

CryogenicsInstrumentationOpen hardware

ITMS-Hardware: Cryogenic Measurement Inserts

Open-source hardware platform of modular cryogenic inserts for transport, pyroelectric and magnetodielectric characterization in liquid nitrogen and PPMS environments. Designed to run with PICA.

Project page GitHub

OllamaPythonAI/ML

Kusanagi-AI: Local AI Toolkit

A free, open-source, privacy-focused AI toolkit for researchers. Runs fully offline on Ollama, with RAG over PDF documents, academic review generation and more.

Try the web apps: OneTail Orochimaru Neji Search Visualize AI

Project page GitHub

Type something. The formula draws it from k =

JavaScriptHTML5CSS3

TupperTransformer: Tupper's Formula Demo

Based on my 2018 preprint, an interactive demo of Tupper's self-referential formula. Draw pixels, transform images and make animations by changing the k-value.

Open the demo

Cite the preprint

@article{Deshmukh2018,
  author  = "P Deshmukh",
  title   = "{Transformation of the pixels in tupper's self-referential formula}",
  year    = "2018",
  month   = "6",
  url     = "https://figshare.com/articles/preprint/Transformation_of_pixels_pdf/6373046",
  doi     = "10.6084/m9.figshare.6373046.v2"
}