Research

Citrine is committed to the advancement of materials informatics. From open-source projects to our collaboration in academic research, we aim to use artificial intelligence to promote development and discovery that makes our world a better place.

External Research:

Citrine’s External Research Department works on externally funded collaborations with academia, national labs, and industry, providing unique expertise and a multi-year track record of success. Our long-standing culture of sharing knowledge and scientific engagement has led to strong academic and government partnerships and dozens of published papers and conference talks on our innovations. We help the scientific community to benefit from the work we do through an open materials data standard, open sourcing of selected libraries, and frequent journal publications and conference presentations on cutting-edge research.

Research Collaborators

Students

What kinds of projects does Citrine’s External Research Department (ERD) work on?

Projects span varied material classes and involve collaborators across industry, government, and academia. In each case Citrine is providing expertise in data management, machine learning and analysis to enable an accelerated assessment of a broader field of material candidates.

The ideal ERD research project is non-proprietary and publishable, and addresses one or more of these themes:

Applications
- 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
Method Development
- Materials informatics algorithm and method development
- Integrating machine learning and physics-based simulations
Software
- Automation of simulations and laboratory experiments
- Materials data infrastructure deployment and utilization
- Open-source software development
Data
- Materials property database development and publication

How does ERD collaborate with researchers at other institutions?

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.

I’d like to discuss a possible funded research opportunity.

We would love to hear from you.

Get in touch

Does Citrine offer internships?

Citrine offers internships at different times throughout the year. Please check our current postings for more information.

Explore roles at Citrine

How can I learn more about materials informatics?

Citrine develops and disseminates materials informatics educational content, often in collaboration with other institutions.

Learn more about Citrine education and training

Citrine has a newsletter covering developments in the materials informatics field.

PUBLICATIONS

An Industrial Perspective on FAIR Data and Machine Learning for Materials

Presented 3-5 June 2020 @ FAIR Data Infrastructure and Materials Genomics, organized by FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V.

Conference Presentations

Data‐driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities

Data‐driven science and technology have helped achieve meaningful technological advancements in areas such as materials/drug discovery and health care, but efforts to apply high‐end data science algorithms to the areas of glass and ceramics are still limited. Many glass and ceramic researchers are interested in enhancing their work by...

Papers By Citrine

Design space visualization for guiding investments in biodegradable and sustainably sourced materials

In many materials development projects, scientists and research heads make decisions to guide the project direction. For example, scientists may decide which processing steps to use, what elements to include in their material selection, or from what suppliers to source their materials. Research heads may decide whether to invest...