Accelerating electrochemical material discovery for sustainable chemical manufacturing
New electrochemical reactions are needed to reduce the carbon footprint of chemical production. Use AI to find new catalysts.
Does machine learning work in materials?
Summary of peer reviewed, papers showing experimentally verified predictions of material properties.
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.