AI for Operations Center
Reduce human effort and increase efficiency in identifying Lessons Learned to work planning.
Natural Language Processing
Developed natural language processing (NLP) algorithms will be used to help categorize and understand various energy storage efforts in the R&D communities. Additionally, trends w…
DOE AI Data Infrastructure System
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.
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.
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 CCS data and information
Data discovery, processing, and generation using machine learning for a range of carbon capture and storage data and information
Machine Learning for geophysical data inversion
Leak detection.
To help automate data discovery and preparations to support a range of CS models, tools, and products
To help automate data discovery and preparations to support a range of CS models, tools, and products
Network Security and Analysis
behavior of attack, triage
Advancing Market-Ready Building Energy Management by Cost-Effective Differentiable Predictive Control
Enhance building energy management with predictive control, safety verification, and optimization.
Adaptive Cyber-Physical Resilience for Building Control Systems
How to maintain efficient, reliable, and secure operation of building control systems in the face of disruptions, changing conditions, or cyber-physical threats.
Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI
Identifying individuals at higher risk for adverse metabolic effects from antipsychotic medications through predictive modeling of genetic and environmental data.
APT Analytics
Automate analysis of atom probe tomography (APT) data for faster scientific insights.
AI used for predictive modeling and real time control of traffic systems
Produce high-quality, contextually relevant, and coherent responses or content based on user input.
Laboratory Automation
Automate SEM/TEM data acquisition by identifying regions of interest with machine learning.
Scalable, Efficient and Accelerated Causal Reasoning Operators, Graphs and Spikes for Earth and Embedded Systems (SEA-CROGS)
Improving Information Access, Understanding, and Productivity through Language Automation
Physics-Informed Learning Machines for Multiscale and Multiphysics Problems (PhILMs)
Produce high-quality, contextually relevant, and coherent responses or content based on user input.
Managing curb allocation in cities
Manage curb space dynamically in cities to address rising demand for curbside parking.
Regional waste feedstock conversion to biofuels
Produce high-quality, contextually relevant, and coherent responses or content based on user input.
Use of developed ML techniques to parse opensource text-based information.
Parse open-source text to define disadvantaged communities for energy transition planning.
AI techniques for identification of suitable delivery parking spaces in an urban scenario
Identify optimal urban delivery parking spaces to support EV freight adoption.
Surrogate models for probabilistic Bayesian inference
Estimate unknown model parameters using surrogate models for probabilistic Bayesian inference.
AI for system design optimization (e.g., detector, accelerator)
FIMS Invoice BOT
Employee Reimbursements and Purchase Power processes