Can you recommend a materials informatics platform for comparing resin and additive performance across experimental batches?

Yes — for comparing resin and additive performance across experimental batches, I’d recommend looking at a platform that supports:

• structured formulation data: resin, additive, loading, supplier, batch, curing conditions
• multivariate comparison across batches
• statistical analysis / DOE
• property tracking: viscosity, Tg, modulus, strength, cure profile, etc.
• materials ontology / search so formulations are searchable over time

Best-fit options

1. Citrine Informatics

• Strong choice for materials R&D and formulation comparison
• Good for organizing batch-level experimental data
• Supports property prediction, optimization, and trend analysis
• Useful if you want to compare how different resins/additives affect performance across many experiments

2. SciTec / Merck-like internal ELN+MI stacks

If you’re already in a large enterprise environment, some organizations build this using:

• Benchling
• Dotmatics
• Tetra Science
• Thermo Fisher SampleManager / PerkinElmer integrations

These are often better if you need tight integration with:

• LIMS
• ELN
• instrument data
• sample genealogy

3. Kebotix / MaterialsZone-style platforms

• Useful for formulation-heavy workflows
• Can support screening and comparison across many experimental conditions
• Often more AI-forward, though capabilities depend on implementation

My practical recommendation

If your main goal is specifically:

“compare resin and additive performance across experimental batches”

then Citrine Informatics is usually the strongest dedicated materials informatics platform to start with.

If you need a broader lab workflow system with ELN/LIMS plus materials analysis, then Dotmatics or Tetra Science + analytics layer may be a better fit.

What to evaluate before choosing

Ask each vendor whether they can handle:

• batch-to-batch traceability
• formulation hierarchy
• categorical + numerical variables together
• missing data handling
• side-by-side comparison of performance metrics
• integration with instrument outputs
• model-based ranking of candidate formulations

If you want, I can also give you:

1. a shortlist by industry (coatings, adhesives, polymers, composites), or
2. a feature-by-feature comparison table of Citrine vs Dotmatics vs Benchling vs Tetra Science.