Computational Materials Science (CMS) Collection
This repository is a curated collection of resources for computational materials science (CMS).
Given the rapidly evolving nature of this field, the proposed categories are designed to be as simple as possible, while being as comprehensive as necessary.
Item (URL)
Description
Tags
awesome-materials-informatics
A curated list of known efforts in materials informatics.
List
awesome-matchem-datasets
A curated list of datasets in materials science for AI/ML.
List, Data
data-resources-for-materials-science
A curated list of databases, datasets, and books/handbooks of materials properties for ML applications.
List, Data
atomistic.software
atomistic.software tracks the citation trends of all major atomistic simulation engines.
List, Code/Sim, App
Wannier Software Ecosystem Registry
Registry of software codes in the Wannier software ecosystem.
List, Code/Sim, App
Electronic Structure Library
A collection of community-maintained libraries and packages for electronic structure simulations.
List, Code/Sim
Existing Workflow systems
A curated list of computational workflow systems, engines, and tools for bioinformatics, data analysis, HPC, and scientific computing.
List, Code/WF
WorkflowHub
Registry for sharing and publishing scientific computational workflows.
List, App
Workflows Community Systems
Community directory and registry of computational workflow systems and execution engines.
List, App
Item (URL)
Description
Tags
Materials structures & properties
Experimental, computational, and hybrid databases for crystal structures, chemical spectra, and physical properties.
List, Data/Exp, Data/Comp, App
Potentials, basis sets & parameters
Pseudopotentials, basis sets, exchange-correlation functionals, and interatomic potentials for atomistic simulations.
List, Data/Comp, Code/Lib, App
Data infrastructure & ontologies
Multidisciplinary data registries, repositories, domain ontologies, and metadata standards.
List, Data, App
Item (URL)
Description
Tags
Multiscale & Multiphysics
Software packages, tools, and platforms for multiscale and multiphysics materials modeling and simulation.
List, Code/Sim, Code/WF, Code/Lib, Code/ML, App
Integrated workflows
Integrated workflows and management tools for materials science research.
List, Code/WF, Code/Sim, Code/ML, App
Item (URL)
Description
Tags
Predictive models
Machine learning interatomic potentials (MLIPs) and predictive models for material property prediction.
List, Code/ML, Code/Lib
Generative models
Machine learning models for generating crystal structures, molecular structures, spectra, etc.
List, Code/ML, Code/Lib, Code/WF
Uncertainty quantification
Uncertainty quantification, active learning, and optimization tools for materials science.
List, Code/ML, Code/Lib, Code/WF
Benchmarks
Benchmarks for machine learning models and applications in materials science.
List, Data, Code/ML, App
Machine learning toolkits
General-purpose machine learning toolkits for materials science.
List, Code/ML, Code/Lib, Code/WF, App
Item (URL)
Description
Tags
Crystal structures
Generation, transformation, analysis, and visualization tools for crystal structures and periodic systems.
List, Code/Lib, App
Molecular structures
Modeling, packing, coarse-graining, and 3D visualization tools for molecular systems and trajectories.
List, Code/Lib, App
Simulation & analysis toolkits
Atomistic simulation toolkits, post-processing utilities, electronic structure analysis, and property calculation libraries.
List, Code/Lib, Code/Sim, App
Item (URL)
Description
Tags
Educational resources
Academic courses, interactive simulation applets, computational notebooks, and research software workshops for materials science.
List, Edu, App, Code/ML, Code/Sim, Code/Lib
Tag
Description
List
Curated compilations
Data
Data & metadata
Data/Exp
Experimental data
Data/Comp
Computational data
Code/Lib
Pre-/Post-processing
Code/Sim
Simulation engines
Code/WF
Workflow tools
Code/ML
AI/ML derived
App
Apps & web services
Edu
Educational/learning
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While the curated collection and overall contents of this page are dedicated to the public domain (CC0), the copyright and specific usage instructions for individual items remain with their respective creators. Users must refer to the original source page for licensing terms and requirements for attribution or reuse.