Education and Research
The Citrine Platform for Education
A no-code, web-based platform with accompanying teaching materials empowering students and educators to learn and apply AI-driven materials and chemicals development—end to end.
— Feedback from an undergraduate student after using the Citrine Platform
What is the Citrine Platform?
The Citrine Platform (CP) is a leading web-based software used globally by materials and chemicals companies for data-driven research and development. Through an intuitive, no-code graphical user interface accessible from any browser, CP enables users to manage data, build AI models, and design experiments—without installing software or writing code.
In education, CP allows students to experience the full data science and AI workflow used in industry, preparing them for the future of scientific and engineering work.
Platform Highlights:
No-Code Interface
Accessible from any browser, no installation needed
Data Management
Organize and explore materials and chemicals data
AI Model Building
Train and evaluate machine learning models
Experiment Design
Generate and analyze AI-driven candidate experiments
Why Materials Informatics in the Classroom?
AI and data-driven decision-making are transforming science and engineering. Materials Informatics—combining machine learning with materials data management—is now a foundational skill for modern researchers.
As industry leaders emphasize, the future workforce will be defined not by AI replacing jobs, but by who knows how to use AI effectively. CP helps educators bring these critical skills directly into their curricula.
Industry-Aligned Skills
Mirror the exact workflows used by leading materials companies worldwide
Future-Ready Graduates
Equip students with AI literacy before they enter the workforce
Curriculum Integration
Seamlessly embed into existing science and engineering courses
Target Learning Outcomes
Students who complete Citrine Platform coursework will develop a comprehensive, industry-relevant skill set across the full AI-driven materials development
workflow.
Understand Data Requirements
- Grasp what data AI needs for materials and chemicals
- Learn machine learning concepts at a high level
- Understand why uncertainty
quantification matters in AI-driven experimentation
Build and Evaluate AI Models
- Create, optimize, and evaluate AI models
- Interpret feature importance and learn from AI outputs
- Define search spaces, targets, and constraints for design problems
Analyze AI-Generated Experiments
- Analyze candidate experiments
generated by AI - Make informed decisions about what experiments to take to the lab
Feedback from Educators at an ASEE Workshop:
“The flow of the software was very interactive and is easy to implement for teaching.”
“Very useful for teaching. Will try and incorporate in my class.”
NO-CODE ACCESS
No software installation or coding required for any exercise
ACCREDITATION READY
Content supports ABET accreditation requirements
INDUSTRY PROVEN
Used by leading materials and chemicals companies worldwide
Ready-to-Use Educational Content
Citrine provides a complete, classroom-ready package that allows educators to rapidly integrate AI and machine learning into existing courses or develop new ones—all while supporting ABET accreditation requirements.
Introductory Modules
Foundational materials informatics content designed for undergraduate and graduate learners
Diverse Case Studies
Real-world scenarios spanning a wide range of materials and chemicals topics
Hands-on Exercises
Student exercises with downloadable solutions and instructor-ready slide decks
White Papers & Resources
Real-world CP use cases and content delivered seamlessly within the platform—no setup required
