post_thumbnail
Why Domain Knowledge Integration is Critical for AI in Materials and Chemicals
Materials and Chemicals data is sparse. It is not “Big Data”. Which is why you need to use every bit of domain knowledge expert domain knowledge at your disposal...
Webinars, Other, All Webinars
post_thumbnail
Product and Engineering Dynamics at Citrine
Team dynamics can be complicated and fluid, but they are incredibly important if we are to meet our company goals.
Life at Citrine
post_thumbnail
7 Things to look for in a Materials Informatics System
Materials Informatics Systems - how do they deliver value and what should one look for when choosing one?
What We've Learned
post_thumbnail
Using Machine Learning to Explore Formulations Recipes with New Ingredients
A system and a method are disclosed that, in an embodiment, receive first input from a user of a candidate formulation recipe, and second input from the user of...
Papers By Citrine
Machine-Learned Metrics for Predicting the Likelihood of Success in Materials Discovery
Materials discovery is often compared to the challenge of finding a needle in a haystack. While much work has focused on accurately predicting the properties of candidate materials with...
Papers By Citrine
post_thumbnail
Get More Value From Data Management
This webinar will share considerations for selecting and rolling out a Materials Informatics System (MIS) when investing in digitalization in materials and chemicals development.
Webinars, Business Case & Concepts, All Webinars
post_thumbnail
Patented Technology Accelerates Reformulation
7 years' experience of working in formulation development has resulted in patented technology to accelerate reformulation.
What We've Learned
post_thumbnail
Navigating Uncertainty and Parenting in 2020
Supporting families and professional growth during a challenging year.
Life at Citrine
post_thumbnail
Panel Discussion: AI-Driven Polymer Development – Challenges and New Horizons
Join Citrine, NIST, Cal Poly, Dow and MIT for a panel discussion about the use of AI for polymers.
Webinars, Other, All Webinars
post_thumbnail
Quantifying Uncertainties in the Materials Digital Twin
Citrine has quantified uncertainty in DFT property calculations as part of a project funded by the US Department of Energy and with collaborators from Olin College and MolSSI.
External Research, Notes on Successful Projects