ORNL: AI for Experimental Facilities Operations
accelerate scientific discovery
ORNL: AI for Transportation and Mobility
accelerate scientific discovery
ORNL: AI for Energy Generation and Distribution
accelerate scientific discovery
ORNL: AI for Advanced Manufacturing
improve manufacturing
ORNL: AI for Bio and Health Sciences
improve health
ORNL: AI for the Smart Laboratory
accelerate scientific discovery
ORNL: AI for Neutron Science
accelerate scientific discovery
ORNL: AI for Earth Systems
accelerate scientific discovery
ORNL: AI for Fusion Energy
accelerate scientific discovery
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.