computational-chemistry-guide

What problem does it solve?

This guide consolidates quantum chemistry, molecular dynamics, and ML-powered workflows to help chemists plan, run, and interpret simulations without being overwhelmed by tooling.

Core Features & Use Cases

• DFT, MD, and ML workflows for property prediction, mechanism exploration, and material screening.
• Reaction prediction and retrosynthesis guidance to map feasible pathways and evaluate alternatives.
• Open-source tool integration with RDKit, OpenMM, Psi4, and similar packages to build end-to-end pipelines.
• Use Case: A researcher can go from a SMILES string to a predicted reaction pathway and a draft experimental plan in a single, reproducible workflow.

Quick Start

Provide a reproducible computational chemistry workflow skeleton for a given molecular structure, enabling immediate exploration of properties and reaction options.