Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)
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Updated
Oct 1, 2024 - Jupyter Notebook
Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)
Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushing on this repo or linking their work / project :)
Project features a Jupyter Notebook, `QuantumAiModel.ipynb`, that explores the integration of quantum computing with artificial intelligence. The notebook provides a comprehensive guide to setting up the environment, understanding quantum computing fundamentals, and implementing a quantum AI model. It includes detailed steps for data preparation.
Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io
Set of quantum chemistry exercises sheets using the Jupyter Notebook environment and the PySCF quantum chemistry package
This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.
Jupyter notebooks demonstrating the use of open-source libraries for DFT calculations.
This repository contains the notebooks that can reproduce the results presented in the paper "Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode"
Repository of code notebooks for tutorials at IEEE Quantum Week (QCE20) https://qce.quantum.ieee.org/tutorials/
Notebook-integrated tools for molecular simulation and visualization
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