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.

Defect structure-searching employing chemically-guided bond distortions

Julia package to compute trap-assisted electron and hole capture in semiconductors

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.

Imaging system for analyzing defects of semiconductor wafers and chips

Evaluation of universal machine learning force-fields https://arxiv.org/abs/2412.10516

An open-source C++ software for efficient nanoscale quantum transport simulations

An Inventory & Component Aggregator for DIY Audio Hardware Builders

🔥 This project performs a simulation of N and P-type MOSFET transistors. Next, the creation of logic gates is performed using the simulated transistors. Then, a Half-Adder mechanism is created with the logic gates, to later use it in a binary sum algorithm.

A Kinetic Monte Carlo super-Lattice code designed to simulate with atomic resolution the kinetics of processes (e.g., PVD, CVD, laser annealing) involving elements, alloys and compounds characterized by the sp3 bond symmetry.

Python code to simulate phonon transport in nanodevices using the Monte Carlo method from ab-initio phonon data.

Repository containing the simulated schematics of logic gates, counters, adders and registers along with corresponding layouts for semiconductor design.

A code for simulation hopping charge transport in disordered systems.

MEMS patent

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.

Jupyter notebook leveraging impedance.py to simplify the batch analysis of staircase potential electrochemical impedance spectroscopy (SPEIS) data.

How to use Artificial Intelligence to Discover New Semiconductors

Jupyter notebooks for sharing. Unorganized

Semiconductor Sensor Simulation

Data-Driven Optimization of Semiconductor Processes and Forecasting