Features

ORNL researchers developed SimuScan, an AI framework that uses realistic synthetic data to identify nanoscale features in atomic force microscope images. It can guide microscopes toward the most informative areas of a sample for closer study.

ORNL researchers developed two domestically sourced materials for Smith-Root’s environmental DNA samplers that are cheaper and meet or exceed performance requirements. The materials could improve filtration while reducing reliance on international suppliers.

ORNL researchers developed an algorithm to help utilities and planners choose locations for urban power generation and storage projects. The tool considers grid infrastructure alongside local policies, costs, community priorities and other real-world factors.

Hundreds of students, educators and early-career researchers gained hands-on science and technology experience at ORNL this summer through programs designed to build pathways to STEM careers.

Researchers at ORNL and INL found that existing non-powered dams across the United States could generate as much as 15.2 terawatt-hours of electricity annually. The updated assessment uses improved data and modeling to help identify the most promising hydropower opportunities and provides new tools to support decision-making for policymakers, dam owners and researchers.

ORNL researchers developed an AI-guided system that autonomously arranges molecules to build functional materials atom by atom. The system created a 37-molecule artificial graphene lattice and confirmed that it behaved like graphene.

ORNL researchers developed an agentic AI co-scientist that analyzes plant experiments to accelerate phytomining research and support domestic critical mineral recovery. As part of DOE's Genesis Mission OPAL project, the system reduced analysis time for more than 1,000 plant traits from hundreds of hours to a few minutes.

Kairos Power announced the Nuclear Center for Advanced Manufacturing and Precast, an initiative focused on maturing new manufacturing and construction methods and developing vocational training for skilled workers in East Tennessee to support the deployment of advanced nuclear reactors.

ORNL and KVA Stainless completed a DOE-funded study validating the performance of welded Grade 91 steel for use in high-temperature energy systems. The results will help KVA refine its advanced welding technology and support the development of durable materials for future fission and fusion reactors.

ORNL’s seventh annual Quantum Computing User Forum brought together 184 researchers, developers and industry leaders to showcase advances in quantum applications, software, and hybrid quantum-HPC computing enabled through QCUP. The event also strengthened collaborations across the quantum community and highlighted ORNL’s role in developing the technologies, software ecosystem and workforce needed to make quantum computing a practical tool for scientific discovery.