Polymer Genome

Categories: Research, Environment & Science, Data Analysis | Pricing: Freemium | Official Website ↗

Polymer Genome is an informatics platform that predicts polymer properties using pre-built machine learning models.

Polymer Genome is an informatics platform designed for predicting the properties of homopolymers and copolymers. It leverages pre-built machine learning models to provide predictions, allowing users to query polymers via a drawing tool or SMILES strings. The platform explicitly states it is not a database but a prediction engine.

Key Features

Polymer property prediction
Homopolymer property prediction
Copolymer property prediction
SMILES string input
Drawing tool for polymer query
Retrosynthesis path prediction

Pros

Predicts polymer properties using ML models
Supports homopolymer and copolymer predictions
Query polymers via drawing tool or SMILES
Provides retrosynthesis path predictions

Cons

Login required for full functionality
Prediction times can vary, retrosynthesis takes longer
Specific ML models used are not detailed
No explicit mention of API access for external tools

Use Cases

Predicting properties of new polymer designs
Exploring potential copolymer characteristics
Understanding retrosynthesis paths for polymers
Accelerating polymer material discovery

Best For

Materials scientists
Polymer researchers
Chemical engineers
Academics in polymer science

Platforms: web

Watch demo on YouTube ↗

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