Artificial Intelligence: The Future of New Materials Discovery | Department of Energy
Design of Experiments and Machine Learning - Citrine Informatics
Closed-Loop Frameworks for Material Discovery - Citrine Informatics
Quantifying Model Performance - Citrine Informatics
Machine Learning for Scientific R&D: Why it's Hard and Why it's Fun | Julia Ling - YouTube
Chemical & Materials Development Platform | Citrine Informatics
Informatics & AI for Materials Development: Justine Trubey, Citrine Informatics - CDFAM
Citrine Informatics Office Photos
Stephen Tanner on LinkedIn: White Paper - Leveraging Physics-Based Models and AI for new Material…
Design of Experiments and Machine Learning - Citrine Informatics
Materials Informatics for Composite Design - Citrine Informatics
TU Dresden and Citrine Informatics collaborate on fiber reinforced plastics (FRP) components research — Institut für Leichtbau und Kunststofftechnik — TU Dresden
Chemical & Materials Development Platform | Citrine Informatics
matminer (Materials Data Mining) — matminer 0.9.1 documentation
Citrination tutorial | PPT
Chemical & Materials Development Platform | Citrine Informatics
Citrine Informatics - Gurucul
GitHub - antonpaquin/citrine: Machine Learning Distribution and Inference
Dorfner partners with citrine informatics and revolutionises paint formulation work through AI - Polymers Paint Colour Journal
nanoHUB.org - Group: Data Science and Machine Learning ~ Simulation Tools
Materials informatics accelerates customer tailored composite material design - Simcenter
Materials Education Symposium—Courses
