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Rob Moore is a leader in autonomous science at ORNL, where he advances AI-driven, self-driving laboratory systems to accelerate materials discovery. Building on his work with the INTERSECT initiative, he now leads efforts toward fully autonomous research through the Labs of the Future program, supporting DOE’s broader Genesis Mission.
ORNL researchers developed a machine learning model that generates realistic tungsten microstructure images, helping fill gaps in costly experimental data. The approach supports virtual experiments to design more durable fusion reactor components and reduce maintenance costs.
Yongtao Liu is an R&D staff member at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences (CNMS). In the Data NanoAnalytics Group, he is helping nanomaterials research move toward experiments that can run with far less handholding.
Researchers at Oak Ridge and Pacific Northwest national laboratories have partnered with Smith-Root Inc. to commercialize “eDNA-bot,” a patented, autonomous aquatic robot that collects and analyzes environmental DNA in real time using artificial intelligence. Developers say the technology could enable continuous, lower-cost biological monitoring for hydropower licensing, invasive species detection and wastewater pathogen monitoring.
Researchers at ORNL are pushing the boundaries of science by combining artificial intelligence, automation and leading-edge imaging technology in a push toward autonomous experimentation. By leveraging the strengths of each of these elements in coordination with human intuition, they hope to create autonomous workflows that enhance researchers’ abilities to answer some of the toughest questions in science.
ORNL is announcing the creation of the Institute for Next-Generation Data Centers, a new national institute dedicated to advancing the design, operation and integration of artificial intelligence data centers into the United States’ energy system.
ORNL has developed an innovative extrusion system that combines multiple 3D-printing extruders into a single, high-output stream via specially designed nozzles. This system matches the speed of larger extruders while providing greater flexibility, precision and multi-material printing capabilities.
Researchers at ORNL have developed an innovative energy storage system design that introduces a safer, more efficient method for electrical charge transfer. The research team’s success is encouraging for next-generation energy storage systems that could help meet growing energy demands.
A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency.
ORNL has developed a network of autonomous science laboratories outfitted with state-of-the-art artificial intelligence and robotic systems and connected to the lab’s world-class user facilities. The goal is to supercharge the research process while producing scientific breakthroughs that would be unachievable in a traditional setting.