An automated workflow for generating and storing DFT calculations for organic molecules.
Auto-QChem is an automated workflow tool for generating and storing Density Functional Theory (DFT) calculations for organic molecules. It streamlines the process of submitting, monitoring, and retrieving quantum chemistry computations from high-performance computing clusters, while organizing results in a structured database. The project aims to reduce manual effort and improve reproducibility in computational chemistry research.
Computational chemists, researchers, and students working with DFT calculations who need automated workflows for managing quantum chemistry data on HPC clusters.
It offers a specialized, automated pipeline that integrates with common cluster schedulers like Slurm and SGE, saving time and ensuring consistent data storage compared to manual scripting approaches.
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
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Handles the entire DFT calculation lifecycle from submission to retrieval on HPC clusters, reducing manual intervention as highlighted in the key features.
Stores calculation results in a structured, searchable database, ensuring data consistency and easy reuse for research reproducibility.
Supports Slurm and SGE/UGE schedulers with customizable scripts, enabling seamless operation on common HPC environments as noted in the README.
Automatically generates descriptors from DFT outputs, providing ready-to-use data for downstream analysis without additional tools.
Only natively supports Slurm and SGE/UGE; adapting to other schedulers requires significant code changes with no developer assistance, as admitted in the README.
Default configurations are tailored to Princeton and UCLA clusters, making initial setup non-trivial and time-consuming for users at other institutions.
Key information is spread across multiple markdown files (e.g., INSTALL.md, DB.md), which can hinder quick onboarding and troubleshooting.