Imaging system for analyzing defects of semiconductor wafers and chips
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Updated
Jun 28, 2024 - Python
Imaging system for analyzing defects of semiconductor wafers and chips
A locally-hosted AI research platform for Physics/STEM labs — MCP tool servers for spectroscopy, XRD, SEM, literature search, and OriginLab automation, built on Open WebUI with AMD ROCm.
SPECTROview : A Tool for Spectroscopic Data Processing and Visualization.
First principles photoluminescence code repository
This repository contains Python code for analyzing and fitting photoluminescence spectra of semiconductor nanostructures.
RamanPL_2D is a Python-based toolkit designed for the analysis and visualisation of Raman and photoluminescence (PL) spectra in two-dimensional materials. It facilitates the extraction of peak positions, intensities, and full width at half maximum (FWHM) from spectral data, offering an intuitive interface for researchers working with 2D materials.
This software provides an easily accessible, user-friendly tool to allow researchers to process and analyze photoluminescence spectra.
Control interface of the GH13 experimental platform to study single nanoemitters aka CARODOTManip
Raw experimental data from colloidal oleic acid-capped PbS quantum dots
Interactive peak fit GUI for spectra (Gaussian–Lorentzian / pseudo-Voigt)
A machine learning (ML) model to look at photoluminescence (PL) data from our InGaAs quantum wells. This model will provide insight on future quantum wells grown by using a supervised learning agent.
The project treats a bug in Labspec software, and it offers an easy way to visualize and deal with Raman/PL mapping data generated from Horiba instrument under txt format
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