Electronic-structure theory, simulation methods, and HPC craft for people who like thinking about electrons.
Quantum Chemistry Network is a landing place for computational chemists, quantum materials enthusiasts, and scientific programmers who want one path from formal theory to real calculations.
Explore density functional theory, wavefunction methods, molecular dynamics, Monte Carlo, tight binding, production software, and Slurm workflows without bouncing between disconnected notes.
One Field, Many Scales
From wavefunctions and densities to clusters, slabs, and supercomputers
The best computational chemistry work moves fluently across levels of description. You may begin with a formal Hamiltonian, switch to a practical approximation, benchmark against software behavior, and end up tuning MPI ranks on a shared cluster. This site is built for that full journey.
Foundations
Theory That Connects to Practice
Build intuition for Kohn-Sham DFT, post-Hartree-Fock methods, and model Hamiltonians without losing the computational context.
Read the theory chaptersSoftware
Packages, Inputs, and Method Fit
Compare major engines like VASP, ORCA, and Quantum ESPRESSO with an eye toward what they are best at and how people actually use them.
Browse the software directoryScale
Run Better Jobs on Real Machines
Move from elegant equations to stable production runs with Slurm patterns, launcher choices, resource layouts, and workflow hygiene.
Open deployment guidesFeatured Pathways
Choose the route that matches your curiosity
Built For
Readers who want rigor without losing momentum
Quantum chemistry enthusiasts
People who enjoy understanding why an approximation works, not just which button to press.
Computational materials scientists
Researchers moving between periodic DFT, model Hamiltonians, band analysis, and production workflows.
Scientific programmers and HPC users
Practitioners who care about numerical setup, scaling behavior, and reliable job execution.
Start Somewhere Concrete
If you only open one page today, make it a useful one.
Begin with a theory chapter, compare software, or jump directly to HPC deployment. The point is to keep the concepts and the computation in the same conversation.