AI4Polymer Community is an open hub for AI-driven polymer discovery. It connects curated literature, polymer databases, tutorials, machine-learning algorithms, web prediction tools, and community discussion into one coherent platform.
The site is designed to support three audiences:
- Researchers who need a faster path from papers and datasets to reproducible experiments.
- Industrial teams that want to scout candidate polymers and evaluate AI-assisted screening workflows.
- Partners or investors who need to understand why polymer intelligence can become a valuable data and software platform.
- Paper Survey: literature intelligence for property prediction, inverse design, generative models, and molecular dynamics.
- Database Collection: entry points for experimental, computational, commercial, and specialized polymer data sources.
- Tutorials: onboarding paths for polymer informatics and reproducible machine-learning workflows.
- ML Algorithms: reusable modeling workflows connected to PyPolyML.
- Web Predictor: product-facing path for polymer property screening and partner demos.
- Community Hub: discussion layer for contributions, validation, and collaboration.
Polymer R&D knowledge is fragmented across papers, datasets, scripts, and isolated tools. AI4Polymer Community reframes those assets as a platform:
- Data moat: curated sources can become a domain-specific materials knowledge base.
- Workflow wedge: tutorials, algorithms, and predictors reduce adoption friction for R&D users.
- Community loop: contributors can continuously add papers, datasets, benchmarks, and validation.
This is a GitHub Pages/Jekyll static site.
bundle exec jekyll serveIf Jekyll is not installed locally, the site still remains mostly plain HTML/CSS/JS and can be inspected directly from the repository. GitHub Pages will process the front matter and layouts during deployment.
_layouts/ Shared page layouts
_includes/ Navigation, head, and footer partials
assets/css/main.css Site-wide visual system
assets/js/search.js Local resource search and mission recommendations
assets/data/ Static search index
pages/ Public section pages
content/ Git submodule targets for connected repositories
For collaboration, research partnerships, or platform discussions, contact tanshiqian@outlook.com.