How to work with us
- Machine learning-guided materials and process design, with a feedback loop that involves experiments and/or simulations
- Modeling materials phenomena across length and timescales, from atomistic to macroscopic
- Machine learning-augmented materials characterization
- Materials informatics algorithm and method development
- Integrating machine learning and physics-based simulations
- Automation of simulations and laboratory experiments
- Materials data infrastructure deployment and utilization
- Open-source software development
- Materials property database development and publication
- We first work to establish an external funding source (e.g., government research funding agencies or foundations) who will sponsor the project. ERD is unable to work on unfunded research projects.
- Citrine provides collaborative groups with unique combined expertise in materials-specific machine learning, physics-based simulations, state-of-the-art software infrastructure, and scientific software development.
- We would love to hear from you.
- Citrine offers internships at different times throughout the year. Please check our current postings for more information.
- Citrine develops and disseminates materials informatics educational content, often in collaboration with other institutions.
- Citrine has a weekly newsletter covering developments in the materials informatics field.
What kinds of projects does Citrine’s External Research Department (ERD) work on?
The ideal ERD research project is non-proprietary and publishable, and addresses one or more of these themes:
How does ERD collaborate with researchers at other institutions?
I’d like to discuss a possible funded research opportunity.
Does Citrine offer internships?
How can I learn more about materials informatics?