learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al. via Zenodo) and download CIF structures with optional element or identifier filters.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Query the Quantum MOF (QMOF) database via Materials Project's MPContribs platform for DFT-computed properties (bandgap) and optimized crystal structures of Metal-Organic Frameworks.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Search and download experimental InfraRed (IR), Mass spectra, and UV-Vis spectra data (JCAMP-DX format) for molecules.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Write and run custom ORCA input files for advanced electronic structure methods or settings not available through the SCINE wrapper, including multi-reference methods, excited states, relativistic effects, advanced SCF, NMR/EPR, and more.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Run DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Run a DFT or Coupled Cluster single-point energy calculation (with optional gradients/Hessian) on a molecular structure with ORCA through SCINE wrapper.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Dock small-molecule guests into a porous host material using the VOID library (Voronoi Clustering), generating multiple 3D conformers with RDKit and ranking generated complexes.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Extract explicit safety warnings, GHS classifications, LD50 toxicity profiles, and acute oral toxicity triage from PubChem PUG VIEW.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Verify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Predict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network. Outputs predicted m/z vs intensity spectrum, fragment ion SMILES, and a spectrum plot.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Calculate activation barrier using Nudged Elastic Band (NEB) method with MLIPs.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Scripts for Wasserstein deconvolution of 1H NMR mixture spectra against reference spectra, reaction product prediction, time-series kinetics, and spectral plotting.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Predict 1H NMR spectra from SMILES strings via NMRdb.org SPINUS neural network prediction and nmrsim quantum mechanical spin simulation.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Generate transition state structures for chemical reactions using React-OT.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Find structurally similar chemical compounds using PubChem's 2D fast similarity engine via the PUG-REST API.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Calculates gas adsorption isotherms via BVT/GCMC Monte Carlo simulations in a porous framework using MLIP.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Prepares supercells for porous frameworks based on minimum interplanar distance and relaxes them using standard MLIP relaxation tools.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Match an experimental spectrum (1H NMR, 13C NMR, IR) against predicted or database reference spectra for candidate ranking and structure confirmation. Supports local catalog lookup, public database fallback, and pluggable similarity metrics.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Compute gas-phase thermodynamic quantities (H, S, G) and reaction thermochemistry (ΔH, ΔS, ΔG) using MLIPs with the ideal-gas/rigid-rotor/harmonic-oscillator approximation.
learningmatter-mit/AtomisticSkills
Skill Claude CodeCodex
Optimize non-periodic molecular TS guesses and verify first-order saddle point from vibrational modes.