Computational Works

Computational Physics & Scientific Programming

This portfolio showcases a collection of my projects focused on instrument control, data analysis, and simulation. Below, you will find highlights of my key projects, the technical tools I use, and links to my work.

Technical Toolkit

Core Programming

python numpy pandas matplotlib

Instrument Control

scipy PyVISA

Development & Docs

git jupyter latex

Highlighted Projects

PICA: Python Instrument Control & Automation

A comprehensive suite of Python scripts using PyVISA to control and automate laboratory instruments for materials science and physics research.

PythonPyVISAPyMeasureGUI
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Physics-Simulation-Toolkit

A collection of scripts for simulating and visualizing phenomena in condensed matter physics, including the Ising model and dielectric models.

PythonJupyterNumPySciPy

Solid-State-Physics-Calculators

Scripts for analyzing experimental data, including calculations for activation energy (Arrhenius) and charge transport (Mott-VRH models).

PythonPandasMatplotlib

Python-for-OriginPro

Scripts using the `originpro` library to automate plotting, data fitting, and report generation directly within OriginLab's software.

PythonoriginproPandas

Ketron

An open-source knowledge base and archive of code snippets, experimental scripts, and small projects developed during my research.

PythonJupyterLaTeXMATLAB

Scientific-Python-Snippets

A curated collection of small, reusable Python scripts for common data handling, file manipulation, and automation tasks.

PythonTkinterPandas

Keywords & Expertise

Scientific Computing Experimental Physics Data Analysis Python PyVISA Instrument Control Materials Science Multiferroics Condensed Matter Physics COMSOL Multiphysics Data Visualization Lab Automation NumPy Pandas SciPy