computational-physics-guide
Computational physics methods, simulations, and research tools
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-physics-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computational Physics Guide Apply computational methods to physics research, including molecular dynamics, Monte Carlo simulations, quantum computing, and numerical methods for solving physical systems. ## Computational Methods Overview | Method | Application | Scale | Key Software | |--------|-------------|-------|-------------| | **Molecular Dynamics (MD)** | Atomic-scale dynamics, materials | Atoms-molecules | LAMMPS, GROMACS, NAMD | | **Density Functional Theory (DFT)** | Electronic structure, quantum chemistry | Electrons | VASP, Gaussian, Quantum ESPRESSO | | **Monte Carlo (MC)** | Statistical mechanics, phase transitions | Configurable | Custom, CASINO | | **Finite Element Method (FEM)** | Continuum mechanics, electrostatics | Macroscopic | COMSOL, FEniCS, Abaqus | | **Finite Difference (FDTD)** | Electrodynamics, wave propagation | Macroscopic | Meep, Lumerical | | **N-body Simulation** | Gravitational dynamics, plasma | Stars/particles | GADGET, REBOUND | | **Lattice QCD** | Quantum chromodynamics | Subatomic | MILC, openQCD | ## Molecular Dynamics ### Basic MD Algorithm ```python import numpy as np def lennard_jones(r, epsilon=1.0, sigma=1.0): """Lennard-Jones potential
- Computational Methods Overview
- Molecular Dynamics
- Basic MD Algorithm
- LAMMPS Input Script Example
- Monte Carlo Methods
- Metropolis Algorithm for Ising Model
- Density Functional Theory
- Quantum ESPRESSO Workflow
- Python Interface (ASE + GPAW)
- Numerical Methods
- Solving ODEs (Runge-Kutta)
- Solving PDEs (Finite Differences)
- HPC and Parallelization
- Research Resources
Step 1: Self-consistent field (SCF) calculation cat > si_scf.in << 'EOF' pw.x < si_scf.in > si_scf.out Step 2: Band structure calculation
What does the computational-physics-guide skill do?
Computational physics methods, simulations, and research tools
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-physics-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.