Department of Energy

Developed natural language processing (NLP) algorithms will be used to help categorize and understand various energy storage efforts in the R&D communities.

Leveraging generative AI and cloud-enabled data infrastructure to improve carbon capture and storage user experience

Creation of polymer datasets and inverse design of polymers with targeted backbones having High CO2 permeability and high CO2/N2 selectivity.

To use AI to calibrate the simulation model by matching simulation data with production history data.

Data discovery, processing, and generation using machine learning for a range of carbon capture and storage data and information

To help automate data discovery and preparations to support a range of CS models, tools, and products

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery

accelerate scientific discovery