Available Technologies

Method for visualizing and interacting with ionizing radiation data using augmented reality. This code provides coupling radiation transport data with immersive augmented reality experiences for users in real-world environments.

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements. 

CAN-D codebase takes as input a set of collected CAN data logs from a vehicle, and produces a .dbc with partial or full signal definitions. Once this .dbc file is produced it can be used to translate subsequent messages from that vehicle in real time or post-drive processing.

1) HMS Version 4 (HMS-4) is the current state-of the- art NDA system deployed in the field to support holdup measurements.

Generating energy models from scratch is a costly and time consuming task. A detailed energy model can have thousands of input parameters that are necessary for a complete simulation of a building. A solution to this problem is the AutoBEMGen framework.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp