learningmatter-mit/AtomisticSkills

Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)

158Stars on the repository
134Mods indexed here, across every type
todayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

mat-edi-mobility

75

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Compute defect-limited carrier mobility and electron-defect scattering matrix elements in 2D and 3D semiconductors from first principles with Quantum ESPRESSO and the EDI plugin.

not rated 158 today A 45 tokens MIT

mat-elasticity

76

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Calculate the full elastic tensor and mechanical properties (bulk modulus, shear modulus, Young's modulus, Poisson's ratio) using MLIPs.

not rated 158 today A 33 tokens MIT

mat-epw-mobility

80

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Compute phonon-limited carrier mobility and mode-resolved electron-phonon coupling in 2D materials from first principles with Quantum ESPRESSO and EPW.

not rated 158 today A 41 tokens MIT

mat-grain-boundary

82

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Calculate grain boundary energies for tilt/twist grain boundaries (Σ-CSL boundaries) using MLIPs; output γGB vs. misorientation angle curves and identify low-energy special boundaries.

not rated 158 today A 43 tokens MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Run Grand Canonical Monte Carlo (GCMC) simulations with cluster expansion models to map composition-temperature phase diagrams via chemical potential sweeps.

not rated 158 today A 34 tokens MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Discover new crystal structures by data-mined ionic substitution — propose candidates from existing structures (forward) or find potential structures for a target composition (reverse).

not rated 158 today A 36 tokens MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Simulate long-time kinetics using rejection-free kinetic Monte Carlo (KMC) with event catalog construction, rate assignment via TST/Arrhenius, detailed-balance validation, superbasin handling, and transport analysis.

not rated 158 today A 53 tokens MIT

mat-lammps-md

87

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Build and run LAMMPS molecular dynamics with isolated MLIP-specific binaries (MACE, MatGL/CHGNet, FairChem) to avoid Python and Torch stack conflicts.

not rated 158 today A 43 tokens MIT

mat-md-monitors

90

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Real-time monitoring tools for stability, equilibration, and diffusion during ASE molecular dynamics simulations.

not rated 158 today A 23 tokens MIT

mat-phonon

96

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Calculate vibrational properties (phonon dispersions, density of states, thermal properties) using MLIPs.

not rated 158 today A 26 tokens MIT

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