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Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. 

As the focus on energy resiliency and competitiveness increases, the development of advanced materials for next-generation, commercial fusion reactors is gaining attention. A recent paper examines a promising candidate for these reactors: ultra-high-temperature ceramics, or UHTCs.

Researchers at 91���� have developed a modeling method that uses machine learning to accurately simulate electric grid behavior while protecting proprietary equipment details. The approach overcomes a key barrier to accurate grid modeling, helping utilities plan for future demand and prevent blackouts. 

 

ORNL, the Tennessee Valley Authority and the Tennessee Department of Economic and Community Development were recognized by the Federal Laboratory Consortium, or FLC, for their efforts to develop Tennessee as a national leader in fusion energy.

Daniel Jacobson, distinguished research scientist in the Biosciences Division at ORNL, has been elected a Fellow of the American Institute for Medical and Biological Engineering, or AIMBE, for his achievements in computational biology. 

Troy Carter, director of the Fusion Energy Division at 91����, leads efforts to make fusion energy a reality, overseeing key projects like MPEX and fostering public-private collaborations in fusion research. 

Dave Weston studies how microorganisms influence plant health and stress tolerance, using the Advanced Plant Phenotyping Laboratory to accelerate research on plant-microbe interactions and develop resilient crops for advanced fuels, chemicals and 

US ITER has completed delivery of all components for the support structure of the central solenoid, the 60-foot-tall superconducting magnet that is the “heart” of the ITER fusion machine. 

During his first visit to 91����, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s global race to lead in artificial intelligence, calling for a “Manhattan Project 2.”

A workshop led by scientists at ORNL sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories.