Sweep through ranges of command line hyperparameters to create testcases for multiple corners
-
Updated
Oct 1, 2023 - Python
Sweep through ranges of command line hyperparameters to create testcases for multiple corners
SCLC-Modelling is a Python project that simulates the transition from field emission to space-charge-limited current (SCLC) in semiconductors. Using models based on the Fowler-Nordheim and Child-Langmuir laws, this repository provides insights into electron emission behaviors, applicable in both research and practical semiconductor design.
Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.
How to use Artificial Intelligence to Discover New Semiconductors
Python code to simulate phonon transport in nanodevices using the Monte Carlo method from ab-initio phonon data.
Imaging system for analyzing defects of semiconductor wafers and chips
Inspection equipment for the semiconductor industry saves companies millions of dollars. This project uses the MIR-WM811K Corpus» of wafer maps to build a CNN classifier to automate classification of wafer defect patterns.
Defect structure-searching employing chemically-guided bond distortions
doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.
Add a description, image, and links to the semiconductors topic page so that developers can more easily learn about it.
To associate your repository with the semiconductors topic, visit your repo's landing page and select "manage topics."