Mitigating Supply Chain Disruptions in the Materials and Chemicals Industry
How an AI-empowered workflow enables the agility needed to respond to supply chain issues.
Does machine learning work in materials?
Summary of peer reviewed, papers showing experimentally verified predictions of material properties.
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.
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?
Patented Technology Accelerates Reformulation
7 years' experience of working in formulation development has resulted in patented technology to accelerate reformulation.
Navigating Uncertainty and Parenting in 2020
Supporting familes and professional growth during a challenging year.
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.
EU Expansion
September 4, 2020 – Citrine Informatics is expanding its operations to the European Union. By doing so, Citrine aims to collaborate more effectively with its existing and future European...
Top 10 Challenges in Artificial Intelligence for Materials and Chemicals
Artificial Intelligence is a powerful tool with enormous potential business benefits. However, in the materials and chemicals industries, there are unique challenges to overcome. 1. Small Data “BIG DATA”...
What is Materials Informatics?
To kick off our blog, we’ll start with the fundamentals. Materials informatics is the application of data science, machine learning, and scientific domain knowledge to gain novel scientific, processing,...