# Materials Informatics

> Materials informatics applies machine learning and simulation to discover and optimize materials far faster than trial and error. It recruits computational materials scientists from academia and partners with university groups generating training data and models.

*Source: [https://selltoscientists.com/industries/materials-informatics/](https://selltoscientists.com/industries/materials-informatics/)*

**Market size:** $5B
**Target researcher profile:** Computational materials scientists and ML researchers in DFT, ML potentials, high-throughput screening, and Bayesian optimization

## Use cases

- ML-potential R&D recruitment
- Accelerated materials-discovery partnerships
- University computational-materials collaborations
- High-throughput-screening talent pipeline
- R&D data-platform deployment

## Representative companies

- Citrine Informatics
- Materials Zone
- Kebotix
- Schrödinger
- Dunia Innovations
- Matmerize
- Polymerize
- Intellegens
- Uncountable
- Phase Genomics

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## Beton network

This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources:

- [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals
- [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties
- [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries
- [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector))
- [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns
- [Beton app](https://inspector.getbeton.ai) — the hosted product